Supplementary MaterialDavid M. Goldstein  1,*, Shawn H. McCreight  2, Éva Buchi  3, and John P. Huelsenbeck  41Department of Linguistics, University of California, Los Angeles, UCLA, Los Angeles, CA 90095-1543, USA; 2Nytril LLC, 2904 Horsehead Bay Dr. NW, Gig Harbor, WA 98335, USA; 3Centre national de la recherche scientifique, Nancy, FR and Université de Lorraine, Nancy, FR; 4Department of Integrative Biology, University of California, Berkeley, UC Berkeley, Berkeley, CA 94720, USA; 1. MethodsThis section outlines the assumptions of the evolutionary models, the procedures used for parameter estimation, and the statistical framework for comparing alternative models of segmental evolution. 1.1. PhylogenyWe assume that the languages in our study group are related by an unknown evolutionary tree, or phylogeny, denoted Ψ. The phylogeny encodes both the topological relationships among the N sampled languages and either their divergence times or the amount of evolutionary change accumulated along each branch. Figure 1 illustrates an example phylogeny for N = 9 languages. In evolutionary biology, trees are described as consisting of ‘nodes’ and ‘branches.’ (Mathematicians instead use the terms ‘vertices’ and ‘edges’, respectively.) The terminal nodes, or tips, correspond to the sampled languages, while interior nodes represent divergence events. The tips are labeled 1, 2, …, N, and the interior nodes are labeled N + 1, N + 2, …, 2N − 1 in preorder sequence (i.e., sequentially from the tips toward the root). The root node is assigned the label 2N − 1. For any node i, its immediate ancestor is denoted σ(i). In Figure 1, for example, the ancestor of node 3 is σ(3) = 13. Branches connect the nodes of the tree and are represented as line segments in Figure 1. Each branch is labeled by its descendant node. In Figure 1, for example, the branch connecting nodes 13 and 14 is labeled 15. A phylogeny is an information-rich graph encoding both ancestry and divergence. Its topological component, denoted τ, specifies the pattern of relationships among the languages. Figure 1 indicates, for instance, that French and Walloon are each other's closest relatives. They share a more recent common ancestor with one another than with any other language in the tree (specifically, node 12 in Figure 1). The tree shown in Figure 1 represents only one possible topology among many. For N = 9 languages, there are 2,027,025 distinct rooted tree topologies. In general, the number of rooted trees is given by the product of the odd integers up to 2N − 3, namely B(N) = (2N − 3)!! = 1 × 3 × … × 2N − 3. We index these topologies as τ1, τ2, …, τB(N). The number of possible topologies grows extremely rapidly. For N = 60 languages, for example, there are 5.86×1096 distinct rooted trees. For comparison, the number of atoms in the observable universe is on the order of 1080. The interior nodes of the tree correspond to divergence events that occurred at specific times in the past. These divergence times are denoted t = (tN+1, tN+2, …, t2N−1). All tip nodes are assigned time t = 0. We describe below a stochastic model of language change operating along the branches of the tree. Such models include a rate parameter governing the tempo of evolution, denoted μ, which represents the instantaneous rate of segmental substitution. In the absence of external calibration (such as a known divergence time) divergence times and substitution rates are not separately
2 of 6817Latin (1)16Romanian (2)1513Friulian (3)Italian (4)1411Catalan (5)10Portuguese (6)Spanish (7)12French (8)Walloon (9)Fig 1. An example tree showing the relationships of N = 9 languages.identifiable. A high substitution rate combined with a short divergence time produces the same expected amount of change as a low rate combined with a long divergence time. For two languages that diverged at time t, the expected number of substitution events along the path connecting them is ν = 2tμ. (The factor of two reflects the fact that the evolutionary path runs from one language to their common ancestor and then to the other language.) In the present study, each of the 2N − 2 branches is allowed to have its own substitution rate. Accordingly, the expected number of substitution events along the ith branch is ν = (tσi − ti) × μi. Rather than estimating divergence times directly, we estimate the compound branch-length parameters νi, measured in units of expected substitutions per segment. 1.2. DataLexical similarities across languages provide evidence about their historical relationships. In this study, we draw on statistical methods developed in evolutionary biology, where phylogenetic relationships among species are inferred from shared morphological traits or from homologous DNA sequences sampled from the same gene across taxa. These methods rely on the assumption that the characters being compared are homologous—that is, that their similarity is attributable to common ancestry rather than independent innovation. In evolutionary biology, homology refers to similarity among traits attributable to descent from a common ancestor. As an illustration, consider the following DNA sequences sampled from three species:ChimpanzeeAAGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCT…GorillaAAGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCAT…HumanAAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCT…These sequences are partial mitochondrial DNA sequences reported by Gojobori (Hayasaka et al. 1988). In the original study, the dataset comprised N = 12 primate species and each sequence was 898 nucleotides in length. In phylogenetic analyses of DNA data, homology is assumed at two distinct levels. First, the sequences themselves must be homologous—that is, they must derive from the same gene in a common ancestor. At this level, homology is typically established through sequence similarity and synteny: the gene compared across species occupies the same genomic context, which means that it is located in the same or a closely corresponding position on the chromosome and flanked by the same neighboring genes. Second, fine-scale homology must be determined within the sequences. The DNA sequences shown above are presented in aligned form, where each column is treated as homologous across species. For example, the first column, which contains the nucleotide A in all three species, is assumed
3 of 68to correspond to a single ancestral position. Under this assumption, the common ancestor of gorillas, chimpanzees, and humans possessed a nucleotide at that position homologous to the aligned column. Fine-scale homology is inferred computationally in a procedure known as ‘alignment.’ Phylogenetic methods then proceed under the assumption that the inferred alignment correctly reflects true positional homology. Our treatment of linguistic data follows the general phylogenetic framework outlined above but differs from previous work in several important respects. As in most studies of linguistic phylogenetics, we restrict attention to the so-called ‘basic vocabulary’ (Swadesh 1952; Chang et al. 2015; Greenhill et al. 2021; Auderset et al. 2023; Heggarty et al. 2023), as lexical items in this domain are comparatively resistant to borrowing. Unlike nearly all prior approaches, however, we base inference directly on phonemic word forms rather than on abstract cognate codings. For each concept in the dataset, homologous lexical items are grouped into a cognate class. Within each class, word forms are represented phonemically using the International Phonetic Alphabet (International Phonetic Association 1999). As an illustration, consider the cognate class for the concept ‘stone’:Latinp-etramRomanianpjatrə-Portuguesep-ɛdɾɐ-Spanishpjedɾa-Catalanp-edɾə-Frenchpjɛ-ʁ--Walloonp-i-r--Friulianpje-re-Italianpjɛtra-The word for ‘stone’ in Latin, for example, is /petram/. The alignment matrix presupposes that fine-scale segmental homology has been specified. For instance, it treats the glide /j/ in Romanian, Spanish, French, Friulian, and Italian as homologous across these languages. Dashes indicate the absence of a segment homologous to those present in other forms at that alignment position. As discussed below, this alignment is not unique. Figure 2 presents two alternative homology assignments. Formally, a segmental alignment, denoted A, is obtained by combining the observed segmental strings with a specification of segmental homology. Let the segmental information for the N languages be denoted S = (s1, s2, …, sN), where si represents the segmental string of the ith language. For the cognate class ‘stone’, the observed segmental strings are:LatinpetramRomanianpjatrəPortuguesepɛdɾɐSpanishpjedɾaCatalanpedɾəFrenchpjɛʁWalloonpirFriulianpjereItalianpjɛtraFor example, for Latin we have s1 = (petram). An alignment is determined by a homology map
4 of 68+SLatinpetramRomanianpjatrəPortuguesepɛdɾɐSpanishpjedɾaCatalanpedɾəFrenchpjɛʁWalloonpirFriulianpjereItalianpjɛtra+H1Latin001111101Romanian100011111Portuguese100011101Spanish011011011Catalan101010101French101010100Walloon101010000Friulian010011101Italian101011101↓=A1Latin--petra-mRomanianp---jatrəPortuguesep---ɛdɾ-ɐSpanish-pj-ed-ɾaCatalanp-e-d-ɾ-əFrenchp-j-ɛ-ʁ--Walloonp-i-r----Friulian-p--jer-eItalianp-j-ɛtr-aH2Latin1111100001Romanian1001111001Portuguese0101011010Spanish0001111110Catalan1010101001French0001010110Walloon0001001001Friulian1001110001Italian1111001001↓=A2Latinpetra----mRomanianp--jatr--əPortuguese-p-ɛ-dɾ-ɐ-Spanish---pjedɾa-Catalanp-e-d-ɾ--əFrench---p-j-ɛʁ-Walloon---p--i--rFriulianp--jer---eItalianpjɛt--r--aFig 2. Alignments (A) are formed from the observed segments (S) and a homology map (H). H, which specifies which segmental positions correspond across languages. The alignment is therefore given by A = (S, H). Figure 2 provides two examples of alignments for ‘stone’ arising from different homology maps. Word forms are directly observable, whereas segmental alignments are not. Multiple homology assignments are often compatible with a given set of cognate forms, and the alignment for ‘stone’ shown above represents only one such possibility. In this study, we develop a statistical framework that treats segmental homology as a latent variable and integrates over its uncertainty. Rather than conditioning on a single alignment, the method considers all possible segmental alignments within a cognate class, weighting each by its posterior probability under the model. Inference is therefore averaged over alignment uncertainty rather than predicated on a fixed homology assignment. 1.3. Segmental evolution modelWe model the evolution of cognate word forms along the branches of a phylogenetic tree as a sequence of segmental substitutions, insertions, and deletions. Substitution events are described by a continuous-time Markov process whose state space consists of the phonemic segments in the inventory. Central to this process is a rate matrix specifying the instantaneous rate of change between all ordered pairs of states. For illustration, consider a simplified model with five segments as states.
5 of 68The instantaneous transition rates can be represented in tabular form as follows:ToABCDEAqAAqABqACqADqAEBqBAqBBqBCqBDqBEFrom CqCAqCBqCCqCDqCEDqDAqDBqDCqDDqDEEqEAqEBqECqEDqEEIn this table, qij ≥ 0 (i ≠ j) denotes the instantaneous rate of change from segment i to segment j. The diagonal elements qii are defined so that each row of the matrix sums to zero, i.e., qii = −qijj≠i. Since these diagonal entries are negative, the quantity −qii can be interpreted as the total rate at which the process leaves state i. In matrix notation, the substitution process is summarized as:Q = {qij} = qAAqABqACqADqAEqBAqBBqBCqBDqBEqCAqCBqCCqCDqCEqDAqDBqDCqDDqDEqEAqEBqECqEDqEE β(1)The scalar parameter β rescales the matrix so that the equilibrium-weighted average substitution rate equals 1.0. Under this normalization, a branch length equals the expected number of substitutions per segment along that branch. A continuous-time Markov process admits a straightforward probabilistic interpretation. When the process occupies state i, the waiting time until the next substitution event is exponentially distributed with rate parameter −qii. Conditional on a substitution occurring, the probability that the next state is j (for i ≠ j) is −qij/qii. Several quantities of interest follow directly from the rate matrix Q. For example, the probability of transitioning from state i to state j over an interval of length ν is obtained by matrix exponentiation, P(ν) = eQν. The process also admits a stationary, or equilibrium, distribution π, which represents the long-run probability of observing each state. This distribution is characterized as the solution to πQ = 0. Both the transition probabilities and the equilibrium distribution enter into the likelihood calculation described below. Insertions and deletions of individual segments occur at rates λ and μ, respectively. The long-term behavior of the process depends critically on the relationship between these rates. If λ > μ, insertions occur more frequently than deletions on average and word lengths increase without bound. Conversely, if λ < μ, deletions dominate and word forms shrink progressively, eventually collapsing to length zero. The TKF91 model of DNA sequence evolution permits single nucleotides to be inserted and deleted at rates λ and μ (Thorne et al. 1991). To formalize this process, Thorne et al. introduced a representation in which adjacent nucleotides are connected by invisible links. Each nucleotide is associated with the link immediately to its right and the left-most position is preceded by a special link known as the immortal link. Insertions occur to the right of an existing link and generate a new nucleotide together with a new link. Deletions remove a nucleotide and its associated link, but the immortal link itself is never deleted. This construction prevents the process from going extinct, even
6 of 68when λ < μ, because a new nucleotide (and its link) can always be inserted to the right of the immortal link. The TKF91 model assumes that the insertion rate is strictly less than the deletion rate (λ < μ), which ensures that sequence length has a stationary distribution. Under this condition, the equilibrium distribution of sequence length is geometric with parameter λ/μ. We adopt this constraint in the present study. The model implemented here is in fact identical to TKF91 with respect to insertions and deletions. It differs only in the substitution component. Whereas TKF91 employs a four-state nucleotide substitution process, we replace it with a continuous-time Markov model defined over the segmental inventory. The combined substitution and insertion–deletion process can be described as follows. Consider a sequence of length L, with Li instances of segment type i. The waiting time until the next evolutionary event (substitution, insertion, or deletion) is exponentially distributed with rate parameter: r = −(Liqii)i + Lλ + (L − 1)μ(2)Conditional on an event occurring, the probability that it is a substitution equals −(Liqii)i/r, the probability of an insertion equals Lλ/r, and the probability of a deletion equals (L − 1)μ/r. Since insertions and deletions operate on links that define positional homology, the alignment map H crucially becomes an explicit parameter of the model rather than a fixed input. 1.4. Bayesian estimation of model parametersModel parameters are estimated within a Bayesian framework. Inference is based on the posterior distribution of the parameters, obtained via Bayes’ rule:P(Parameter(s) | Observations) = P(Observations | Parameter(s)) P(Parameter(s))P(Observations)(3)In words, the posterior distribution conditional on the observations is proportional to the likelihood [P(Observations | Parameter(s))] multiplied by the prior distribution [P(Parameter(s))] and normalized by the marginal likelihood [P(Observations)]. In this study, parameters include:τ1, …, τB(N)Tree Topologiesν1, …, νB(N)Branch-length parametersθParameters associated with the rate matrix Qλ, μ (λ < μ)Insertion and deletion ratesHThe map describing the alignment of the segmentsThe joint posterior distribution of the parameters is therefore:P(τ, ν, θ, λ, μ|S) = P(S|τ, ν, θ, λ, μ) P(τ, ν, θ, λ, μ)P(S)(4)We highlight that the likelihood is marginalized over all possible segmental alignments:
7 of 68P(S|τ, ν, θ, λ, μ) = P(S|τ, ν, θ, λ, μ, H) P(H)H(5)Since the summation extends over all admissible alignment maps, inference does not condition on any single alignment being correct. Similarly, the marginal likelihood integrates over all possible parameter values:P(S) = τνθP(S|τ, ν, θ, λ, μ) P(τ, ν, θ, λ, μ) dν dθ dλ dμλ<μ(6)The integrals represent integration over branch lengths, substitution-model parameters, and insertion-deletion rates, subject to the constraint (λ < μ). The likelihood itself is computed on a per-word basis using the dynamic programming algorithm of Lunter et al. (2003), which conditions on a specific alignment. Although the posterior distribution can be expressed analytically, the high-dimensional summations and integrals required for exact evaluation are intractable. We therefore approximate the joint posterior distribution numerically using Markov chain Monte Carlo (MCMC). 1.5. Markov chain Monte CarloMarkov chain Monte Carlo (MCMC) provides a numerical method for approximating the posterior distribution of model parameters. The goal is to construct a Markov chain whose state space consists of parameter values and whose stationary distribution coincides with the posterior distribution of interest. Metropolis et al. (1953) and Hastings (1970) describe general procedures for constructing such chains. Once stationarity has been reached, successive samples from the chain constitute dependent but asymptotically valid draws from the posterior distribution. We implement the Metropolis–Hastings algorithm as follows:1.Let the current state of the chain be denoted θ. If this is the initial iteration, initialize θ, for example by drawing from the prior distribution.2.Propose a new state, denoted θ′, by generating a random vector u from a specified proposal distribution and defining θ′ = h(θ, u). Let q(θ → θ′) denote the proposal density for the forward move and q(θ′ → θ) the corresponding reverse-move density.3.Compute the Metropolis–Hastings acceptance probability:R = min1, f(θ′|X)f(θ|X) × f(θ′)f(θ) × q(θ′ → θ)q(θ → θ′)This quantity equals the product of the likelihood ratio, prior ratio, and proposal ratio.4.Draw a uniform random variable u from the interval (0,1). If u < R, accept the proposal and set θ = θ′. Otherwise, reject the proposal and retain the current state.5.Repeat from step 1.The proposal mechanisms employed here are standard in phylogenetic inference, including the LOCAL move for updating tree topologies and branch lengths (Larget and Simon 1999). The distinctive feature of the present analysis is the inclusion of proposals for segmental alignments. We implement the alignment proposal strategy described by Lunter et al. (2005). In practice, the Markov chain is run for a large number of iterations. At each iteration, a proposed move is either accepted or rejected, which produces a stochastic sequence of parameter states. States are recorded at regular intervals. In our analysis, every 100th iteration was retained. Posterior summaries are derived from the retained samples. For example, the proportion of samples in which a
8 of 68particular alignment appears provides a Monte Carlo estimate of its posterior probability and the proportion supporting a given tree topology provides a corresponding estimate for that topology. Marginal posterior distributions for continuous parameters are estimated from the empirical distribution of sampled values. 1.6. Model comparisonIn Bayesian inference, parameter estimation proceeds from the joint posterior distribution, which we approximate using the Metropolis–Hastings algorithm. In many applications, however, the primary goal is to compare competing models and determine which provides the better account of the observed data. Bayesian model comparison is based on the marginal likelihoods of the models. Consider two linguistic models, M1 and M2, with marginal likelihoods P(S|M1) and P(S|M2), respectively, computed for the same dataset. The ratio of these marginal likelihoods is the Bayes factor:BF12 = P(S|M1)P(S|M2)P(S|M2)(7)The Bayes factor quantifies the relative support for the two models. A value greater than one favors M1, whereas a value less than one favors M2. Unlike frequentist model comparison, Bayesian inference does not rely on p-values. Instead, Bayes factors are interpreted either directly or on a logarithmic scale. Jeffreys (1961) proposed the following conventional guidelines:BFlog10BFInterpretation1 − 3.20 − 0.5Not worth a bare mention3.2 − 100.5 − 1Substantial10 − 1001 − 2Strong > 100 > 2DecisiveBayesian model comparison automatically accounts for model complexity through integration over parameter space. More complex models distribute prior probability mass over a higher-dimensional space, which effectively penalizes unnecessary parameters. Consequently, no additional correction for model size, such as a null distribution comparison, is required.A practical challenge in Bayesian model comparison is the numerical approximation of marginal likelihoods. Several strategies are available. One approach constructs a Markov chain that moves between models of differing dimensionality via reversible-jump MCMC (Green 1995). Another approach estimates marginal likelihoods using path-sampling or thermodynamic integration, in which a series of MCMC chains explores intermediate distributions between the prior and posterior (Lartillot and Philippe 2006; Xie et al. 2010). Three models of segmental evolution are compared in this study. The first is isomorphic to the Jukes–Cantor model (Jukes and Cantor 1969) and assumes equal rates of change between all segment pairs. The second corresponds to the Felsenstein model (Felsenstein 1981), in which substitution rates are proportional to the stationary frequency of the destination state. The third, the Natural Class Model, partitions segments into ten articulatorily defined classes and estimates separate rates for changes within classes and between classes.1.7. Cognates SetsThe dataset contains 102 cognate sets comprising 918 word forms and 79 distinct phonemic segments
9 of 68distributed across 98 concepts: all, and, at, belly, black, blood, bone, dog, dry, ear, earth, egg, eye, feather, fingernail, fire, five, flower, foot, four, fruit, full, good, grass, green, head, I, if, in, knee, leaf, liver, long, louse, meat, moon, mountain, mouth, narrow, near, new, night, not, old, one, other, rain, red, river, round, salt, sea, seed, skin, sky, star, stone, tail, there, thick, thin, three, come, cut, drink, fall, fight, flow, hear, hold, know, laugh, lieasinabed, play, say, see, sew, sing, sleep, smell, squeeze, stand, swell, think, turn, wash, tongue, tooth, tree, warm, water, what, when, wind, woman, year, you (pl.), and you (sg.). 1.8. WorkflowSegmentLibrary(static) + CognateData → Parsing&Validation → CreateMCMCDataset↓Manuscript&Supplements ← Figures&Narrative ← ComputeRates ← RunMCMCFig 3. The workflow of the experiment.The first stage of the experiment involved constructing a reusable dictionary of IPA segment definitions. The files IPA.nytril and Segments.nytril define segment classes, with each segment represented as an instance containing its IPA symbol (e.g., /ŋ/) and a set of phonological attributes (e.g., vowel, sibilant, fricative). These files were designed for reuse in future experiments and by other researchers. The next stage consisted of assembling the cognate word forms. These are stored as strings in nytril source files organized by concept and language. Each string contains UCS code points encoding the IPA symbols for its segments, which allows for consistent copying across sources. Dashes between IPA symbols provide an initial vertical alignment of segments. Syllable stress marks may appear in the strings but are ignored in the present analysis. Although the word files are grouped by part of speech (e.g., Nouns.nytril, Adjectives.nytril), this organization is purely editorial. During processing, all forms are aggregated and reorganized programmatically. The strings are then decoded and converted into arrays of VocalSegment objects. Since IPA characters may consist of multiple Unicode code points and include combining diacritics, all strings are normalized to Unicode Form C (NFC) prior to comparison. This ensures that diacritics occupy consistent relative positions across strings. After parsing, each word is reconstructed from its object representation to verify fidelity to the original encoding. The segment objects are subsequently grouped into words and organized by concept, cognate class, and language, yielding a structured representation of the full dataset. Diagnostic tables and visualizations are then generated to inspect the data from multiple perspectives. These diagnostics facilitate detection of alignment errors, encoding inconsistencies, or structural anomalies. Once the dataset has been validated, an experiment snapshot is generated. This
10 of 68process produces a directory of nytril and JSON files that serve as input to the program TongueTwister. TongueTwister performs the MCMC analysis, which may run for several days and produces tree files and associated output. The resulting files are then processed by TongueTwisterReader, which aggregates posterior summaries and generates formatted output files in nytril format. Finally, a nytril-based program reads the processed output and produces the tables, charts, and figures included in the manuscript. These graphical outputs are integrated with narrative text to generate the final paper and presentation materials. Figure 3 provides a schematic overview of the workflow. References1.Hayasaka, K., Gojobori, T. & Horai, S., Molecular phylogeny and evolution of primate mitochondrial DNA, Molecular Biology and Evolution, 5(6), doi: 10.1093/oxfordjournals.molbev.a040524, (1988), pp. 626-6442.Swadesh, M., Lexico-statistic dating of prehistoric ethnic contacts: With special reference to North American Indians and Eskimos, Proceedings of the American Philosophical Society, 96(4), (1952), pp. 452-4633.Chang, W., Cathcart, C., Hall, D. & Garrett, A. J., Ancestry-constrained phylogenetic analysis supports the Indo-European steppe hypothesis, Language, 91(1), doi: 10.1353/lan.2015.0005, (2015), pp. 194-2444.Greenhill, S. J., Heggarty, P. & Gray, R. D., Bayesian phylolinguistics, In The handbook of historical linguistics, Joseph, B. D., Janda, R. D. & Vance, B. S. (Eds.), doi: 10.1002/9781118732168.ch11, (Wiley, 2021), pp. 226-2535.Auderset, S., Greenhill, S. J., DiCanio, C. T. & Campbell, E. W., Subgrouping in a ‘dialect continuum’: A Bayesian phylogenetic analysis of the Mixtecan language family, Journal of Language Evolution, 8(1), doi: 10.1093/jole/lzad004, (2023), pp. 33-636.Heggarty, P. et al., Language trees with sampled ancestors support a hybrid model for the origin of Indo-European languages, Science, 381(6656), doi: 10.1126/science.abg0818, eid: eabg0818, (2023), pp. 1-127.International Phonetic Association, Handbook of the International Phonetic Association: A guide to the use of the International Phonetic Alphabet, doi: 10.1017/9780511807954, (Cambridge University Press, Cambridge, 1999)8.Thorne, J. L., Kishino, H. & Felsenstein, J., An evolutionary model for maximum likelihood alignment of DNA sequences, Journal of Molecular Evolution, Volume 33, doi: 10.1007/BF02193625, (1991), pp. 114-1249.Lunter, G., Miklós, I., Song, Y. S. & Hein, J., An efficient algorithm for statistical multiple alignment on arbitrary phylogenetic trees, Journal of Computational Biology, 10(6), doi: 10.1089/106652703322756122, (2003), pp. 869-88910.Metropolis, N., Rosenbluth, A., Rosenbluth, M., Teller, A. & Teller, E., Equation of state calculations by fast computing machines, Journal of Chemical Physics, Volume 21, doi: 10.1063/1.1699114, (1953), pp. 1087-109211.Hastings, W. K., Monte Carlo sampling methods using Markov chains and their applications, Biometrika, Volume 57, doi: 10.2307/2334940, (1970), pp. 97-109
11 of 6812.Larget, B. & Simon, D. L., Markov chain Monte Carlo algorithms for the Bayesian analysis of phylogenetic trees, Molecular Biology and Evolution, 16(6), doi: 10.1093/oxfordjournals.molbev.a026160, (1999), pp. 750-75913.Lunter, G., Miklós, I., Drummond, A. J., Jensen, J. & Hein, J., Bayesian coestimation of phylogeny and sequence alignment, BMC Bioinformatics, 6(83), doi: 10.1186/1471-2105-6-83, (2005), pp. 1-1014.Jeffreys, H., Theory of probability, (Oxford University Press, Oxford, 1961)15.Green, P. J., Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, 82(4), doi: 10.1093/biomet/82.4.711, (1995), pp. 711-73216.Lartillot, N. & Philippe, H., Computing Bayes factors using thermodynamic integration, Systematic Biology, 55(2), doi: 10.1080/10635150500433722, (2006), pp. 195-20717.Xie, W., Lewis, P. O., Fan, Y., Kuo, L. & Chen, M., Improving marginal likelihood estimation for Bayesian phylogenetic model selection, Systematic Biology, 60(2), doi: 10.1093/sysbio/syq085, (2010), pp. 150-16018.Jukes, T. H. & Cantor, C., Evolution of protein molecules, In Mammalian protein metabolism, Volume 3, Munro, H. N. (Ed.), doi: 10.1016/B978-1-4832-3211-9.50009-7, (Academic Press, 1969), pp. 21-12319.Felsenstein, J., Evolutionary trees from DNA sequences: A maximum likelihood approach, Journal of Molecular Evolution, Volume 17, doi: 10.1007/BF01734359, (1981), pp. 368-376FiguresFigure 1. Example Tree.................................................................................................................................2Figure 2. Alignment......................................................................................................................................4Figure 3. Workflow.......................................................................................................................................9
12 of 68Appendix 1: Alignment categoriesAll cognate categories showing the number of alignments to reach the 95% credible interval. At2And9And10In10You Singular11If14Salt18All182Belly218Black198Blood477Bone263Dog58Dry88Ear533Earth211Egg685Eye365Feather107Fingernail141Fire217Five242Flower33Foot734Four330Fruit601Full339Good340Grass204Green144Head77I169Knee1087Leaf804Liver642Long114Long120Louse777Meat55Moon37Mountain58Mouth141Narrow1022Near498New757Night334Not22Old1519One38Other65Rain958Red114River101Round860Sea25Seed158Seed358Skin285Sky226Star472Stone302Tail106There52Thick148Thin92Three148To Come149To Cut484To Drink1023To Fall425To Fight531To Flow427To Hear90To Hold195To Know1090To Laugh534To Lie As In A Bed723To Play254To Say700To See751To Sew387To Sing191To Sleep148To Smell146To Squeeze1016To Stand152To Swell1158To Swell347To Think153To Turn Intransitive112To Wash174Tongue479Tooth52Tree187Warm73Water542What50When178Wind207Woman149Year98You Plural142
13 of 68Appendix 2: All Alignments95% credible set of alignments for each category. AtProbability120.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.937ada-ɐ-a-a-a-a-a-a- 0.0128 (0.950)a-da---ɐ-a--a--a--a--a--a--AndProbability123456780.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.884-etje--i--i--i--e--ɛ--e--e- 0.0242 (0.908)e-tje-i--i--i--e--ɛ--e--e-- 0.0163 (0.924)et-j-ei--i--i--e--ɛ--e--e-- 0.00714 (0.932)etje-i-i-i-e-ɛ-e-e 0.00614 (0.938)etjei-i-i-e-ɛ-e-e- 0.00534 (0.943)-e-tje----i---i---i---e---ɛ--e---e-- 0.00360 (0.947)-et-je---i---i---i-----e---ɛ-e---e-- 0.00326 (0.950)-et--je----i----i----i-------e---ɛ--e----e---AndProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.789siːkʃi-sĩ-si-si-si-si-si-si- 0.0276 (0.816)siː-kʃi--s-ĩ-si--si--si--si--si--si-- 0.0260 (0.842)s-iːkʃ-i-sĩ--s-i-s-i-s-i-s-i-s-i-s-i- 0.0256 (0.868)siːk-ʃ--is--ĩs--is--is--is--is--is--i 0.0220 (0.890)siː-kʃ-i-s-ĩ-s-i-s-i-s-i-s-i-s-i-s-i- 0.0156 (0.906)s-iːkʃi--sĩ--si--si--si--si--si--si-- 0.0152 (0.921)siːk-ʃi--s--ĩsi--si--si--si--si--si-- 0.0146 (0.935)s-iːk-ʃi-s-ĩ-s-i-s-i-s-i-s-i-s-i-s-i-
14 of 680.0142 (0.950)siːkʃ-is-ĩs-is-is-is-is-is-iInProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.741inɨn-ɐ̃jenən-ɑ̃ɛninin 0.0893 (0.830)inɨnɐ̃j-enən-ɑ̃ɛninin 0.0823 (0.913)inɨn-ɐ̃jenənɑ̃-ɛninin 0.0102 (0.923)-inɨ-n--ɐ̃j-en-ən--ɑ̃-ɛn-in-in 0.00806 (0.931)inɨnɐ̃j-enənɑ̃-ɛninin 0.00560 (0.936)i-n-ɨn--ɐ̃je-nə-n--ɑ̃ɛ-ni-ni-n 0.00417 (0.941)i-nɨn--ɐ̃j-en-ən--ɑ̃-ɛn-in-in- 0.00363 (0.944)in-ɨ-n-ɐ̃j-en-ən--ɑ̃-ɛn-in-in- 0.00314 (0.947)-in-ɨn--ɐ̃je-n-ən--ɑ̃-ɛn-in-inYou SingularProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.816tuːtututututytitutu 0.0413 (0.858)t-uːtu-tu-tu-tu-ty-ti-tu-tu- 0.0402 (0.898)tuː-t-ut-ut-ut-ut-yt-it-ut-u 0.0121 (0.910)t-uːtu-t-ut-ut-ut-yt-it-ut-u 0.0109 (0.921)tuː-t-utu-tu-tu-ty-ti-tu-tu- 0.00789 (0.929)t-uːt-ut-ut-ut-uty-ti-t-ut-u 0.00751 (0.936)tuː-tu-tu-tu-tu-t-yt-itu-tu- 0.00543 (0.942)tuː-tu-tu-tu-tu-ty-t-itu-tu- 0.00391 (0.946)tuː-tu-tu-tu-t-ut-yt-itu-tu-IfProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.768siːsəsɨsisisisisese 0.0399 (0.808)s-iːsə-sɨ-si-si-si-si-se-se- 0.0338 (0.842)siː-s-əs-ɨs-is-is-is-is-es-e 0.0301 (0.872)s-iːsə-s-ɨs-is-is-is-is-es-e 0.0261 (0.898)siː-s-əsɨ-si-si-si-si-se-se- 0.00997 (0.908)s-iːs-əsɨ-si-si-si-si-se-s-e 0.00883 (0.917)s-iːs-əsɨ-si-si-si-si-s-es-e 0.00863 (0.926)siː-sə-s-ɨs-is-is-is-is-ese- 0.00534 (0.931)siː-sə-s-ɨs-is-is-is-ise-se-
15 of 68SaltProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.835salemsare-sal--sal--sal--sɛl--se---saːl--sale- 0.0208 (0.856)salemsare-sal--sal--sal--sɛl--s-e--saːl--sale- 0.0123 (0.869)sal-emsa-re-sal---sal---sal---sɛl---se----saːl---sal-e- 0.0113 (0.880)sa-lemsar-e-sa-l--sa-l--sa-l--sɛ-l--se----saː-l--sa-le- 0.0102 (0.890)sale-msar-e-sal---sal---sal---sɛl---se----saːl---sal-e- 0.00903 (0.899)sal-emsar-e-sal---sal---sal---sɛl---s--e--saːl---sal-e- 0.00703 (0.906)sal-emsare--sal---sal---sal---sɛl---se----saːl---sale-- 0.00651 (0.913)salem-sar--esal---sal---sal---sɛl---se----saːl---sal--e 0.00551 (0.918)sal-emsare--sal---sal---sal---sɛl---se----saːl---sal-e-AllProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.241toːt-umtot---tod-u-tod-o-tot---tu----tɔ----dut---tutto- 0.205 (0.446)toː-tumto-t--to-du-to-do-to-t--tu----tɔ----du-t--tutto- 0.0865 (0.532)toːt-umtot---to-du-to-do-to-t--tu----tɔ----du-t--tutto- 0.0786 (0.611)toː-tumto-t--tod-u-tod-o-tot---tu----tɔ----dut---tutto- 0.0353 (0.646)toːt-umto-t--tod-u-tod-o-tot---tu----tɔ----dut---tutto- 0.0295 (0.676)toː-tumtot---tod-u-tod-o-tot---tu----tɔ----dut---tutto- 0.0295 (0.705)toːt-umto-t--to-du-to-do-to-t--tu----tɔ----du-t--tutto- 0.0265 (0.732)toː-tumtot---to-du-to-do-to-t--tu----tɔ----du-t--tutto- 0.00769 (0.739)toːt-um-tot----tod---utod---otot----tu-----tɔ-----dut----tutt--o
16 of 68BellyProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.502pantikempɨnteʧe-p-ɐ̃--sɐ-pan--θa-paɲ--ʃə-p-ɑ̃--s--p-ɑ̃--s--pan--ʦe-pan--ʧa- 0.0495 (0.552)pantikempɨnteʧe-pɐ̃---sɐ-pan--θa-paɲ--ʃə-p-ɑ̃--s--p-ɑ̃--s--pan--ʦe-pan--ʧa- 0.0342 (0.586)pantikempɨnteʧe-p-ɐ̃sɐ---panθa---paɲʃə---p-ɑ̃s----p-ɑ̃s----panʦe---panʧa--- 0.0340 (0.620)pantikempɨnteʧe-p-ɐ̃--sɐ-pan--θa-paɲ--ʃə-pɑ̃---s--pɑ̃---s--pan--ʦe-pan--ʧa- 0.0222 (0.642)panti-kempɨnt-eʧe-p-ɐ̃---sɐ-pan---θa-paɲ---ʃə-p-ɑ̃---s--p-ɑ̃---s--pan---ʦe-pan---ʧa- 0.0216 (0.664)pantik-empɨnte-ʧe-p-ɐ̃---sɐ-pan---θa-paɲ---ʃə-p-ɑ̃---s--p-ɑ̃---s--pan---ʦe-pan---ʧa- 0.0206 (0.685)pant-ikempɨnte-ʧe-p-ɐ̃---sɐ-pan---θa-paɲ---ʃə-p-ɑ̃---s--p-ɑ̃---s--pan---ʦe-pan---ʧa- 0.0163 (0.701)pantikempɨnteʧe-p-ɐ̃s--ɐ-panθ--a-paɲʃ--ə-p-ɑ̃s----p-ɑ̃s----panʦ--e-panʧ--a- 0.0111 (0.712)panti-kempɨnteʧ-e-p-ɐ̃--s-ɐ-pan--θ-a-paɲ--ʃ-ə-p-ɑ̃--s---p-ɑ̃--s---pan--ʦ-e-pan--ʧ-a-BlackProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.246n-iɡrumn-eɡru-n-eɡɾu-n-eɣɾo-n-ɛɡɾə-nwa-ʁ--n-ø-r--n-e-ri-n-e-ro- 0.155 (0.402)niɡrumneɡru-neɡɾu-neɣɾo-nɛɡɾə-nwaʁ--n-ør--ne-ri-ne-ro- 0.112 (0.514)niɡrumneɡru-neɡɾu-neɣɾo-nɛɡɾə-nwaʁ--nø-r--ne-ri-ne-ro- 0.0567 (0.570)ni-ɡrumne-ɡru-ne-ɡɾu-ne-ɣɾo-nɛ-ɡɾə-nwa-ʁ--nø--r--ne--ri-ne--ro- 0.0381 (0.609)niɡ-rumneɡ-ru-neɡ-ɾu-neɣ-ɾo-nɛɡ-ɾə-nw-aʁ--nø--r--ne--ri-ne--ro- 0.0294 (0.638)niɡ-rumneɡ-ru-neɡ-ɾu-neɣ-ɾo-nɛɡ-ɾə-nw-aʁ--n--ør--ne--ri-ne--ro- 0.0254 (0.663)ni-ɡrumne-ɡru-ne-ɡɾu-ne-ɣɾo-nɛ-ɡɾə-nwa-ʁ--n-ø-r--ne--ri-ne--ro- 0.0146 (0.678)niɡrum-neɡru--neɡɾu--neɣɾo--nɛɡɾə--n--wa-ʁn---ø-rne-ri--ne-ro-- 0.0136 (0.692)niɡru-mneɡru--neɡɾu--neɣɾo--nɛɡɾə--n--waʁ-n---ør-ne-ri--ne-ro--
17 of 68BloodProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.137sanɡʷinemsɨnʤ--e-s-ɐ̃ɡ--ɨ-sanɡɾ-e-san-----s-ɑ̃-----s-ɔ̃ɡ----sank----sanɡw-e- 0.0615 (0.199)sanɡʷinemsɨn-ʤ-e-s-ɐ̃ɡ--ɨ-sanɡɾ-e-san-----s-ɑ̃-----s-ɔ̃ɡ----sank----sanɡw-e- 0.0498 (0.249)sanɡʷ-inemsɨnʤ---e-s-ɐ̃ɡ---ɨ-sanɡɾ--e-san------s-ɑ̃------s-ɔ̃ɡ-----sank-----sanɡ-w-e- 0.0301 (0.279)sanɡʷi-nemsɨnʤ---e-s-ɐ̃ɡ---ɨ-sanɡ-ɾ-e-san------s-ɑ̃------s-ɔ̃ɡ-----sank-----sanɡw--e- 0.0224 (0.301)sanɡʷin-emsɨnʤ---e-s-ɐ̃ɡ---ɨ-sanɡ--ɾe-san------s-ɑ̃------s-ɔ̃ɡ-----sank-----sanɡw--e- 0.0219 (0.323)sanɡʷinemsɨnʤ--e-s-ɐ̃ɡ--ɨ-sanɡɾ-e-san-----s-ɑ̃-----s-ɔ̃ɡ----san-k---sanɡw-e- 0.0182 (0.341)sanɡʷinemsɨnʤ--e-s-ɐ̃ɡ--ɨ-sanɡ-ɾe-san-----s-ɑ̃-----s-ɔ̃ɡ----sank----sanɡ-we- 0.0151 (0.357)sanɡʷinemsɨnʤ--e-s-ɐ̃ɡ--ɨ-sanɡɾ-e-san-----sɑ̃------sɔ̃-ɡ----sank----sanɡw-e- 0.0132 (0.370)sanɡʷi-nemsɨn-ʤ--e-s-ɐ̃ɡ---ɨ-sanɡ-ɾ-e-san------s-ɑ̃------s-ɔ̃ɡ-----sank-----sanɡw--e-BoneProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.151-ossum-os----o-su-we-so--ɔ-s---ɔ-s---ɔ-hɛ-wɛ-s---ɔsso- 0.141 (0.293)-ossum-o-s---os-u-wes-o--ɔs----ɔs----ɔh-ɛ-wɛs----ɔsso- 0.127 (0.420)-ossum-os----os-u-wes-o--ɔs----ɔs----ɔh-ɛ-wɛs----ɔsso- 0.117 (0.537)-ossum-o-s---o-su-we-so--ɔ-s---ɔ-s---ɔ-hɛ-wɛ-s---ɔsso- 0.0263 (0.564)ossumo-s---osu-weso--ɔs---ɔs---ɔhɛ-wɛs--ɔsso-
18 of 680.0193 (0.583)-ossum-os---o-s-u-wes-o--ɔs----ɔs----ɔh-ɛ-wɛs----ɔsso- 0.0154 (0.598)-ossum-o-s--o-s-u-wes-o--ɔs----ɔs----ɔh-ɛ-wɛs----ɔsso- 0.0139 (0.612)-ossum-os---o--su-we-so--ɔ-s---ɔ-s---ɔ-hɛ-wɛ-s---ɔsso- 0.0122 (0.624)ossumo-s---osu-weso-ɔ-s--ɔ-s--ɔ-hɛ-wɛs--ɔsso-DogProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.653kanemkɨjne-k-ɐ̃w--kan--ka---ʃjɛ̃--ʧ-ɛ̃--can--kane- 0.0832 (0.736)kanemkɨjne-k-ɐ̃w--kan--ka---ʃjɛ̃---ʧɛ̃--can--kane- 0.0545 (0.790)kanemkɨjne-kɐ̃w---kan--ka---ʃjɛ̃--ʧ-ɛ̃--can--kane- 0.0127 (0.803)kanemkɨjne-k-ɐ̃w--kan--k-a--ʃjɛ̃--ʧ-ɛ̃--can--kane- 0.0116 (0.815)kanemkɨjne-kɐ̃w---kan--ka---ʃjɛ̃---ʧɛ̃--can--kane- 0.00871 (0.823)ka-nemkɨj-ne-k--ɐ̃w--ka-n--ka----ʃ-jɛ̃--ʧ--ɛ̃--ca-n--ka-ne- 0.00846 (0.832)k-anemk-ɨjne-k--ɐ̃w--k-an--k-a---ʃ-jɛ̃--ʧ--ɛ̃---can--k-ane- 0.00840 (0.840)-kanem-kɨjne--k-ɐ̃w---kan---ka----ʃjɛ̃---ʧ-ɛ̃--c-an---kane- 0.00777 (0.848)k-anemkɨj-ne-k--ɐ̃w--k-an--k-a---ʃ-jɛ̃--ʧ--ɛ̃--c-an--k-ane-DryProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.223sikkumse-k--sek-u-sek-o-sɛk---sɛk---sɛʧ---sɛk---sekko- 0.219 (0.442)sikkumsek---se-ku-se-ko-sɛ-k--sɛ-k--sɛ-ʧ--sɛ-k--sekko- 0.190 (0.632)sikkumse-k--se-ku-se-ko-sɛ-k--sɛ-k--sɛ-ʧ--sɛ-k--sekko- 0.184 (0.816)sikkumsek---sek-u-sek-o-sɛk---sɛk---sɛʧ---sɛk---sekko- 0.00469 (0.820)sikkum-sek----se-k--use-k--osɛ-k---sɛ-k---sɛ-ʧ---sɛ-k---sekk--o
19 of 680.00451 (0.825)s-ikkumse-k---se--ku-se--ko-sɛ--k--sɛ--k--sɛ--ʧ--sɛ--k--se-kko- 0.00429 (0.829)sikku-msek----sek--u-sek--o-sɛk----sɛk----sɛʧ----sɛk----sekk-o- 0.00414 (0.833)sikku-msek----se-k-u-se-k-o-sɛ-k---sɛ-k---sɛ-ʧ---sɛ-k---sekk-o- 0.00409 (0.837)sikk-umsek----sek-u--sek-o--sɛk----sɛk----sɛʧ----sɛk----sekko--EarProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0589au̯riku-lamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə-ɔʁ-----ej-ɔʀ-----ɛj-oreː---le-orek-kja- 0.0505 (0.109)au̯rik-ulamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə-ɔʁ-----ej-ɔʀ-----ɛj-oreː---le-orekk-ja- 0.0460 (0.155)au̯riku-lamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə-ɔ-----ʁej-ɔ-----ʀɛj-oreː---le-orek-kja- 0.0449 (0.200)au̯riku-lamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə-ɔʁej------ɔʀɛj------oreː---le-orek-kja- 0.0437 (0.244)au̯riku-lamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə---ɔ---ʁej---ɔ---ʀɛj-oreː---le-orek-kja- 0.0403 (0.284)au̯rik-ulamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə---ɔ---ʁej---ɔ---ʀɛj-oreː---le-orekk-ja- 0.0367 (0.321)au̯ri-kulamure-k-je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə-ɔʁej------ɔʀɛj------oreː---le-orekk-ja- 0.0310 (0.352)au̯rik-ulamurek--je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə-ɔ-----ʁej-ɔ-----ʀɛj-oreː---le-orekk-ja- 0.0262 (0.378)au̯ri-kulamure-k-je-oɾɐ---ʎɐ-oɾe---xa-uɾɛ---ʎə---ɔ---ʁej---ɔ---ʀɛj-oreː---le-orekk-ja-
20 of 68EarthProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.196t-erramʦ-ar-ə-t-ɛ-ʁɐ-tje-ra-t-ɛ-ɾə-t-ɛ-ʁ--t-e-r--tjɛ-re-t-ɛrra- 0.168 (0.365)t-erramʦ-a-rə-t-ɛʁ-ɐ-tjer-a-t-ɛɾ-ə-t-ɛʁ---t-er---tjɛr-e-t-ɛrra- 0.148 (0.513)t-erramʦ-ar-ə-t-ɛʁ-ɐ-tjer-a-t-ɛɾ-ə-t-ɛʁ---t-er---tjɛr-e-t-ɛrra- 0.127 (0.640)t-erramʦ-a-rə-t-ɛ-ʁɐ-tje-ra-t-ɛ-ɾə-t-ɛ-ʁ--t-e-r--tjɛ-re-t-ɛrra- 0.0106 (0.650)t--erramʦ--ar-ə-t--ɛ-ʁɐ-tj-e-ra-t--ɛ-ɾə-t--ɛ-ʁ--t--e-r--t-jɛ-re-t--ɛrra- 0.0105 (0.661)terramʦa-rə-t-ɛʁɐ-tjera-t-ɛɾə-t-ɛʁ--t-er--tjɛre-tɛrra- 0.00637 (0.667)t--erramʦ--a-rə-t--ɛ-ʁɐ-tj-e-ra-t--ɛ-ɾə-t--ɛ-ʁ--t--e-r--t-jɛ-re-t--ɛrra- 0.00523 (0.673)t-erram-ʦa-rə-t-ɛʁ-ɐ-tjer-a-t-ɛɾ-ə-t-ɛʁ---t-er---tjɛr-e-t-ɛrra- 0.00523 (0.678)t--erramʦ--ar-ə-t--ɛʁ-ɐ-tj-er-a-t--ɛɾ-ə-t--ɛʁ---t--er---t-jɛr-e-t--ɛrra-EggProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.141-oːwum-ow---ovu-webo--ɔw---œf---u----uːf--wɔvo- 0.0268 (0.168)oːwum---ow---ovu-webo--ɔw---œf---u----uːf--wɔvo 0.0265 (0.194)--oːwum--ow----ovu--webo---ɔw----œf----u-----uːf--w-ɔvo- 0.0179 (0.212)-oːwum-ow---ovu-webo--ɔw---œf---u---uː-f--wɔvo- 0.0163 (0.228)-oːwum-o-w--ovu-webo--ɔw---œf---u----uːf--wɔvo- 0.0155 (0.244)oːwu--m--ow----ovu--webo---ɔw----œf----u-----uːf---wɔvo- 0.0143 (0.258)-oːwumo-w---ovu-webo--ɔw---œf---u----uːf--wɔvo- 0.0135 (0.272)-oːwum-ow--o-vu-webo--ɔw---œf---u----uːf--wɔvo- 0.0123 (0.284)oːwum----o-w---o-vu-we-bo--ɔ-w---œ-f---u-----uː-f--wɔ-vo
21 of 68EyeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.135-oku-lum-okʲ------o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔk-kjo- 0.114 (0.249)-ok-ulum-okʲ------o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔkk-jo- 0.0871 (0.336)-o-kulum-o-kʲ-----o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔkk-jo- 0.0459 (0.382)-okulum-o-kʲ----o--ʎu--o--xo--u--ʎ---œ--j---u--j--vo--li--ɔkkjo- 0.0341 (0.416)-okulum-okʲ-----o--ʎu--o--xo--u--ʎ---œ--j---u--j--vo--li--ɔkkjo- 0.0286 (0.445)-oku-lum-o---kʲ---o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔk-kjo- 0.0261 (0.471)-oku-lum-o--kʲ----o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔk-kjo- 0.0245 (0.495)-o-kulum-o---kʲ---o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔkk-jo- 0.0209 (0.516)-ok-ulum-o---kʲ---o---ʎu--o---xo--u---ʎ---œ---j---u---j--vo---li--ɔkk-jo-FeatherProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.244pennampan-ə-pe-nɐ-pe-ɲa-pɛ-ɲə-pɛ-n--pɛ-n--pɛ-ne-penna- 0.219 (0.463)pennampa-nə-pen-ɐ-peɲ-a-pɛɲ-ə-pɛn---pɛn---pɛn-e-penna- 0.181 (0.644)pennampa-nə-pe-nɐ-pe-ɲa-pɛ-ɲə-pɛ-n--pɛ-n--pɛ-ne-penna- 0.180 (0.824)pennampan-ə-pen-ɐ-peɲ-a-pɛɲ-ə-pɛn---pɛn---pɛn-e-penna- 0.00557 (0.829)pennampanə--pe-nɐ-pe-ɲa-pɛ-ɲə-pɛ-n--pɛ-n--pɛ-ne-penna-
22 of 680.00374 (0.833)penn-ampan-ə--pe-n-ɐ-pe-ɲ-a-pɛ-ɲ-ə-pɛ-n---pɛ-n---pɛ-n-e-penn-a- 0.00323 (0.836)p-ennampa-n-ə-p-e-nɐ-p-e-ɲa-p-ɛ-ɲə-p-ɛ-n--p-ɛ-n--p-ɛ-ne-p-enna- 0.00314 (0.839)penn-ampan-ə--pen--ɐ-peɲ--a-pɛɲ--ə-pɛn----pɛn----pɛn--e-penn-a- 0.00297 (0.842)pe-nnamp-a-nə-pe-n-ɐ-pe-ɲ-a-pɛ-ɲ-ə-pɛ-n---pɛ-n---pɛ-n-e-pe-nna-FingernailProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.415unɡulamunɡj-e-uɲ---ɐ-uɲ---a-unɡ-lə--ɔ̃ɡ-l---ɔ̃ɡ----ɔnɡule-unɡj-a- 0.138 (0.552)unɡulamunɡ-je-uɲ---ɐ-uɲ---a-unɡ-lə--ɔ̃ɡ-l---ɔ̃ɡ----ɔnɡule-unɡ-ja- 0.0502 (0.603)unɡulamunɡj-e-uɲ---ɐ-uɲ---a-unɡ-lə--ɔ̃ɡ-l---ɔ̃ɡ----ɔnɡule-unɡ-ja- 0.0416 (0.644)unɡu-lamunɡ--je-uɲ----ɐ-uɲ----a-unɡ--lə--ɔ̃ɡ--l---ɔ̃ɡ-----ɔnɡ-ule-unɡ--ja- 0.0345 (0.679)unɡulamunɡ-je-uɲ---ɐ-uɲ---a-unɡ-lə--ɔ̃ɡ-l---ɔ̃ɡ----ɔnɡule-unɡj-a- 0.0337 (0.712)unɡ-ulamunɡ--je-uɲ----ɐ-uɲ----a-unɡ--lə--ɔ̃ɡ--l---ɔ̃ɡ-----ɔnɡu-le-unɡ--ja- 0.0226 (0.735)unɡulamunɡj-e-uɲ---ɐ-uɲ---a-unɡ-lə-ɔ̃-ɡ-l--ɔ̃-ɡ----ɔnɡule-unɡj-a- 0.0110 (0.746)unɡu-lamunɡ-j-e-uɲ----ɐ-uɲ----a-unɡ--lə--ɔ̃ɡ--l---ɔ̃ɡ-----ɔnɡ-ule-unɡ-j-a- 0.00991 (0.756)unɡulamunɡ-je-uɲ---ɐ-uɲ---a-unɡ-lə-ɔ̃-ɡ-l--ɔ̃-ɡ----ɔnɡule-unɡ-ja-
23 of 68FireProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.370f-okumf-ok--f-oɡu-fweɡo-f-ɔk--f-ø---f-œ---f-uːk--fwɔko- 0.0603 (0.430)f-okumf-ok--f-oɡu-fweɡo-f-ɔk--f-ø---f-œ---fuː-k--fwɔko- 0.0392 (0.469)f-okumf-ok--fo-ɡu-fweɡo-f-ɔk--f-ø---f-œ---f-uːk--fwɔko- 0.0360 (0.505)fo-kumfo-k--f-oɡu-fweɡo-f-ɔk--f-ø---f-œ---f-uːk--fwɔko- 0.0307 (0.536)f-okumf-ok--f-oɡu-fweɡo-fɔ-k--fø----fœ----f-uːk--fwɔko- 0.0273 (0.563)fo-kumf-ok--f-oɡu-fweɡo-f-ɔk--f-ø---f-œ---f-uːk--fwɔko- 0.0258 (0.589)f-okumfo-k--f-oɡu-fweɡo-f-ɔk--f-ø---f-œ---f-uːk--fwɔko- 0.0194 (0.609)fo-kumfo-k--fo-ɡu-fweɡo-f-ɔk--f-ø---f-œ---f-uːk--fwɔko- 0.0186 (0.627)f--okumf--ok--f--oɡu-fw-eɡo-f--ɔk--f--ø---f--œ---f--uːk--f-wɔko-FiveProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.428kʷiːnkʷ-eʧinʧ--s-ĩk-uθink-osink--s-ɛ̃k--s-ɛ̃k--ʧink--ʧiŋkwe 0.0330 (0.461)kʷiːnkʷ-eʧinʧ--sĩ-k-uθink-osink--s-ɛ̃k--s-ɛ̃k--ʧink--ʧiŋkwe 0.0299 (0.491)kʷiːnkʷ-eʧinʧ--s-ĩk-uθink-osink--sɛ̃-k--sɛ̃-k--ʧink--ʧiŋkwe 0.0280 (0.519)kʷiːnkʷ-e-ʧinʧ---s-ĩk--uθink--osink---s-ɛ̃k---s-ɛ̃k---ʧink---ʧiŋkwe- 0.0265 (0.546)kʷiːn-kʷeʧin-ʧ-s-ĩk-uθink-osink--s-ɛ̃k--s-ɛ̃k--ʧink--ʧiŋkwe 0.0200 (0.566)kʷiːn-kʷ-eʧinʧ---s-ĩk--uθink--osink---s-ɛ̃k---s-ɛ̃k---ʧink---ʧiŋk-we 0.0197 (0.585)kʷiːnkʷ-eʧin--ʧs-ĩk-uθink-osink--s-ɛ̃k--s-ɛ̃k--ʧink--ʧiŋkwe 0.0194 (0.605)kʷiːnkʷ--eʧin-ʧ--s-ĩ-k-uθin-k-osin-k--s-ɛ̃-k--s-ɛ̃-k--ʧin-k--ʧiŋ-kwe 0.0183 (0.623)kʷiːnkʷ-eʧin-ʧ-s-ĩk-uθink-osink--s-ɛ̃k--s-ɛ̃k--ʧink--ʧiŋkwe
24 of 68FlowerProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.789floːremflo̯are-floɾ--floɾ--flɔ---flœʁ--flœr--floːr--fjore- 0.0153 (0.804)fl-oːremfl-o̯are-fl-oɾ--fl-oɾ--fl-ɔ---fl-œʁ--fl-œr--fl-oːr--f-jore- 0.0147 (0.819)floːremflo̯are-floɾ--floɾ--fl-ɔ--flœʁ--flœr--floːr--fjore- 0.0133 (0.832)f-loːremf-lo̯are-f-loɾ--f-loɾ--f-lɔ---f-lœʁ--f-lœr--f-loːr--fj-ore- 0.0125 (0.844)floː-remfl-o̯are-fl-oɾ--fl-oɾ--fl-ɔ---fl-œʁ--fl-œr--fl-oːr--fj-ore- 0.0120 (0.856)fl-oːremflo̯a-re-flo-ɾ--flo-ɾ--flɔ----flœ-ʁ--flœ-r--floː-r--fjo-re- 0.0113 (0.868)floː-remfl-o̯are-flo-ɾ--flo-ɾ--flɔ----flœ-ʁ--flœ-r--floː-r--fjo-re- 0.00903 (0.877)fl-oːremflo̯a-re-fl-oɾ--fl-oɾ--fl-ɔ---fl-œʁ--fl-œr--fl-oːr--fj-ore- 0.00834 (0.885)floːr-emflo̯are--floɾ---floɾ---flɔ----flœʁ---flœr---floːr---fjore--FootProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0419p-edempiez--p---ɛ-pj--e-pɛ--w-pj--e-p---i-piː--t-pjɛde- 0.0378 (0.0797)p-edempiez--p-ɛ---pje---pɛw---pje---p-i---p-iːt--pjɛde- 0.0283 (0.108)p-edempiez--p-ɛ---pje---pɛw---pje---p-i---piːt---pjɛde- 0.0241 (0.132)p-edem-p-i-e-zp-ɛ----p-j-e--p-ɛ-w--p-j-e--p---i--p-iː-t--pjɛde-- 0.0167 (0.149)p-ede-mp-i-ez-p-ɛ----p-j-e--p-ɛ-w--p-j-e--p---i--p-iː-t--pjɛde-- 0.0158 (0.165)p-edempiez--p---ɛ-pj--e-pɛ--w-pj--e-pi----piː--t-pjɛde- 0.0126 (0.177)p-edempiez--p-ɛ---p-j-e-p-ɛ-w-p-j-e-p---i-p-iː-t-pjɛde- 0.0119 (0.189)p-ed-e-mp-i--ez-p-ɛ-----p-j--e--p-ɛ--w--p-j--e--p----i--p-iː-t---pjɛd-e-- 0.0116 (0.201)p-edempiez--p---ɛ-pj--e-pɛ--w-pj--e-p---i-piː-t--pjɛde-
25 of 68FourProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.111kʷ-attworp-at-ru-kwat-ɾu-kwat-ɾo-kwat-ɾə-k-at-ʁ--kwat----kwat-ri-kwattro- 0.102 (0.213)kʷ-attworp-a-tru-kwat-ɾu-kwat-ɾo-kwat-ɾə-k-at-ʁ--kwat----kwat-ri-kwattro- 0.102 (0.315)kʷ-attworp-at-ru-kwa-tɾu-kwa-tɾo-kwa-tɾə-k-a-tʁ--kwa-t---kwa-tri-kwattro- 0.0942 (0.409)kʷ-attworp-a-tru-kwa-tɾu-kwa-tɾo-kwa-tɾə-k-a-tʁ--kwa-t---kwa-tri-kwattro- 0.0245 (0.434)-kʷattworp-a-tru-kwa-tɾu-kwa-tɾo-kwa-tɾə-k-a-tʁ--kwa-t---kwa-tri-kwattro- 0.0233 (0.457)kʷ-attwor-pat-ru-kwa-tɾu-kwa-tɾo-kwa-tɾə-k-a-tʁ--kwa-t---kwa-tri-kwattro- 0.0225 (0.479)-kʷattworp-a-tru-kwat-ɾu-kwat-ɾo-kwat-ɾə-k-at-ʁ--kwat----kwat-ri-kwattro- 0.0215 (0.501)kʷ-attwor-pa-tru-kwat-ɾu-kwat-ɾo-kwat-ɾə-k-at-ʁ--kwat----kwat-ri-kwattro- 0.0215 (0.522)-kʷattworp-at-ru-kwat-ɾu-kwat-ɾo-kwat-ɾə-k-at-ʁ--kwat----kwat-ri-kwattro-FruitProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0755fruːk-tumfruk-t--fɾu--tɐ-fɾu--to-fɾu-jt--fʁɥ--i--fry--t--fru--t--frut-to- 0.0340 (0.109)fruː-ktumfru-kt--fɾu--tɐ-fɾu--to-fɾuj-t--fʁɥ--i--fry--t--fru--t--fru-tto- 0.0310 (0.140)fr-uːktumfr-ukt--fɾ-u-tɐ-fɾ-u-to-fɾ-ujt--fʁɥi----fr-y-t--fr-u-t--fr-utto- 0.0295 (0.170)fruːk-tumfruk-t--fɾu--tɐ-fɾu--to-fɾu-jt--fʁɥ---i-fry--t--fru--t--frut-to- 0.0205 (0.190)fruːk-tumfruk-t--fɾu--tɐ-fɾu--to-fɾu-jt--fʁɥ-i---fry--t--fru--t--frut-to- 0.0179 (0.208)fruː-ktumfru-kt--fɾu--tɐ-fɾu--to-fɾuj-t--fʁɥi----fr-y-t--fru--t--fru-tto- 0.0177 (0.226)fr-uːk-tumfr-uk-t--fɾ-u--tɐ-fɾ-u--to-fɾ-u-jt--fʁɥi-----fr-y--t--fr-u--t--fr-ut-to- 0.0170 (0.243)fruːktumfrukt--fɾu-tɐ-fɾu-to-fɾujt--fʁɥ-i--fry-t--fru-t--frutto-
26 of 680.0163 (0.259)fruː-ktumfru-kt--fɾu-t-ɐ-fɾu-t-o-fɾujt---fʁɥ-i---fry-t---fru-t---fru-tto-FullProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.211pleːnumplin--ʃ-ɐj-u-ʝ-eno-plɛ---plɛ̃---plɛ̃---plɛn--pjɛno- 0.0875 (0.298)pleːnumplin--ʃɐj--u-ʝe-no-pl--ɛ-pl--ɛ̃-pl--ɛ̃-plɛn--pjɛno- 0.0663 (0.365)pleːnumplin--ʃ-ɐj-u-ʝ-eno-pl--ɛ-pl--ɛ̃-pl--ɛ̃-plɛn--pjɛno- 0.0657 (0.430)pleːnumplin---ʃɐj-u--ʝeno-plɛ---plɛ̃---plɛ̃---plɛn--pjɛno- 0.0341 (0.464)pleːnumplin--ʃ-ɐj-u-ʝ-eno-plɛ---pl-ɛ̃--pl-ɛ̃--plɛn--pjɛno- 0.0290 (0.493)pleːnumplin--ʃɐj--u-ʝe-no-pl-ɛ--pl-ɛ̃--pl-ɛ̃--plɛn--pjɛno- 0.0249 (0.518)pleːnumplin--ʃ-ɐj-u-ʝ-eno-pl-ɛ--pl-ɛ̃--pl-ɛ̃--plɛn--pjɛno- 0.0195 (0.538)pleːnumplin---ʃɐj-u--ʝeno-pl--ɛ-pl--ɛ̃-pl--ɛ̃-plɛn--pjɛno- 0.0142 (0.552)pleːnumplin---ʃɐj-u--ʝeno-plɛ---pl-ɛ̃--pl-ɛ̃--plɛn--pjɛno-GoodProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.159b-onumb-un--b--õ--bweno-b-ɔ---b-ɔ̃---b-ɔ̃---b-ɔn--bwɔno- 0.0657 (0.225)b-onumb-un--b--õ--bweno-b---ɔ-b---ɔ̃-b---ɔ̃-b-ɔn--bwɔno- 0.0455 (0.271)b--onumb--un--b---õ--b-weno-b--ɔ---b--ɔ̃---b--ɔ̃---b--ɔn--bw-ɔno- 0.0385 (0.309)bo-numb-un--b--õ--bweno-b-ɔ---b-ɔ̃---b-ɔ̃---b-ɔn--bwɔno- 0.0378 (0.347)b--onumb--un--b---õ--bw-eno-b--ɔ---b--ɔ̃---b--ɔ̃---b--ɔn--b-wɔno-
27 of 680.0342 (0.381)b-onumb-un--b--õ--bweno-b--ɔ--b--ɔ̃--b--ɔ̃--b-ɔn--bwɔno- 0.0318 (0.413)b-onumbu-n--b--õ--bweno-b-ɔ---b-ɔ̃---b-ɔ̃---b-ɔn--bwɔno- 0.0286 (0.441)bo-numbu-n--b--õ--bweno-b-ɔ---b-ɔ̃---b-ɔ̃---b-ɔn--bwɔno- 0.0225 (0.464)b-onumb-un--b--õ--bweno-b-ɔ---b--ɔ̃--b--ɔ̃--b-ɔn--bwɔno-GrassProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.467herbamjarbə--ɛɾvɐ-ʝeɾba--eɾbə--ɛʁb--jɛ-p--jerbe--ɛrba- 0.0719 (0.539)herbamjarbə--ɛɾvɐ-ʝeɾba-e-ɾbə--ɛʁb--jɛ-p--jerbe--ɛrba- 0.0545 (0.593)herbamjarbə--ɛɾvɐ-ʝeɾba--eɾbə--ɛʁb---jɛp--jerbe--ɛrba- 0.0255 (0.619)herbamjarbə--ɛɾvɐ-ʝeɾba--eɾbə--ɛʁb--jɛp---jerbe--ɛrba- 0.0242 (0.643)herbamjarbə-ɛ-ɾvɐ-ʝeɾba--eɾbə--ɛʁb--jɛ-p--jerbe--ɛrba- 0.0177 (0.661)herbamjarbə--ɛɾvɐ-ʝeɾba--eɾbə--ɛʁb--jɛ-p--jerbe-ɛ-rba- 0.0150 (0.676)h-erbam-jarbə---ɛɾvɐ--ʝeɾba---eɾbə---ɛʁb---jɛ-p---jerbe---ɛrba- 0.0114 (0.687)-herbamj-arbə---ɛɾvɐ-ʝ-eɾba---eɾbə---ɛʁb--j-ɛ-p--j-erbe---ɛrba- 0.00866 (0.696)herbamjarbə--ɛɾvɐ-ʝeɾba-e-ɾbə-ɛ-ʁb--j-ɛp--jerbe--ɛrba-GreenProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.600wiridemver-de-veɾ-dɨ-beɾ-de-bɛɾ-t--vɛʁ----ver----vɛr-t--ver-de- 0.0218 (0.622)wiridemver-de-veɾ-dɨ-beɾ-de-bɛɾ--t-vɛʁ----ver----vɛr-t--ver-de- 0.0205 (0.643)wiridemver-de-veɾ-dɨ-beɾ-de-bɛɾ-t--vɛʁ----ver----vɛr--t-ver-de- 0.0163 (0.659)-wiridemv-er-de-v-eɾ-dɨ-b-eɾ-de-b-ɛɾ-t--v-ɛʁ----v-er----v-ɛr-t--v-er-de-
28 of 680.0138 (0.673)w-iridem-ver-de--veɾ-dɨ--beɾ-de--bɛɾ-t---vɛʁ-----ver-----vɛr-t---ver-de- 0.0116 (0.684)wi-ridemv-er-de-v-eɾ-dɨ-b-eɾ-de-b-ɛɾ-t--v-ɛʁ----v-er----v-ɛr-t--v-er-de- 0.0106 (0.695)wiridem-ver-de--veɾ-dɨ--beɾ-de--bɛɾ----tvɛʁ-----ver-----vɛr-t---ver-de-- 0.00849 (0.703)-wiridem-ver-de--veɾ-dɨ-b-eɾ-de--bɛɾ-t---vɛʁ-----ver-----vɛr-t---ver-de- 0.00803 (0.711)wiridemver-de-veɾ-dɨ-beɾ-de-bɛɾ-t--vɛ--ʁ--ve--r--vɛr-t--ver-de-HeadProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.711kaputkap--kabu-kabo-kap--ʃɛf--ʧiːf--caːf--kapo- 0.0360 (0.747)kaputkap--kabu-kabo-kap--ʃɛf--ʧiːf--caː-f-kapo- 0.0119 (0.759)kapu-tkap---kab-u-kab-o-kap---ʃɛf---ʧiːf---caːf---kap-o- 0.0115 (0.771)kap-utkap---kabu--kabo--kap---ʃɛf---ʧiːf---caːf---kapo-- 0.0104 (0.781)kaput-kap---kab--ukab--okap---ʃɛf---ʧiːf---caːf---kap--o 0.00986 (0.791)k-aputk-ap--k-abu-k-abo-k-ap--ʃ-ɛf--ʧ-iːf---caːf--k-apo- 0.00957 (0.800)kap-utkap---ka-bu-ka-bo-ka-p--ʃɛ-f--ʧiː-f--caː-f--kap-o- 0.00863 (0.809)ka-putka-p--kab-u-kab-o-kap---ʃɛf---ʧiːf---caːf---ka-po- 0.00814 (0.817)-kaput-kap---kabu--kabo--kap---ʃɛf---ʧiːf--c-aːf---kapo-
29 of 68IProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.249eɡoː-j-ewe-w-ʝ-o-ʒ-ɔ-ʒ-ə-ʤ-i-j-o-i-o- 0.112 (0.361)eɡoː--jew-ew--ʝo--ʒɔ--ʒə--ʤi--jo--io- 0.0745 (0.436)-eɡoːje-we--wʝ--oʒ--ɔʒ--əʤ--ij--oi--o 0.0673 (0.503)eɡ-oːj-ewe--wʝ--oʒ--ɔʒ--əʤ--ij--oi--o 0.0502 (0.553)e-ɡoːje-we--wʝ--oʒ--ɔʒ--əʤ--ij--oi--o 0.0487 (0.602)-eɡoːje-w-e-w-ʝ-o-ʒ-ɔ-ʒ-ə-ʤ-i-j-o-i-o 0.0417 (0.643)-eɡoːje-wew--ʝo--ʒɔ--ʒə--ʤi--jo--io-- 0.0200 (0.663)eɡ-oː-jew-e-w-ʝ-o-ʒ-ɔ-ʒ-ə-ʤ-i-j-o-i-o 0.0115 (0.675)eɡoːjewew-ʝo-ʒɔ-ʒə-ʤi-jo-io-KneeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0260ɡeni--kulumʤenu-nkʲ----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu-------ɲ-ɲɔ-------ʤeno----li-ʤinɔk-k-jo- 0.0226 (0.0486)ɡeni--kulumʤenun-kʲ----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu-------ɲ-ɲɔ-------ʤeno----li-ʤinɔ-kk-jo- 0.0157 (0.0643)ɡeni-k-ulumʤenunkʲ-----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu-------ɲ-ɲɔ-------ʤeno----li-ʤinɔ-kk-jo- 0.0147 (0.0790)ɡeni-k-ulumʤenunkʲ-----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu--------ɲɲɔ-------ʤeno----li-ʤinɔ-kk-jo- 0.0110 (0.0900)ɡenikulumʤenunkʲ---ʒu-ɐ--ʎu--ino--xo-ʒəno--ʎ--ʒənu-----ɲ-ɲɔ-----ʤeno--li-ʤinɔkkjo- 0.0101 (0.100)ɡeni-ku-lumʤenunkʲ-----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu-------ɲ-ɲɔ-------ʤeno----li-ʤinɔ-k-kjo- 0.00991 (0.110)ɡeni--kulumʤenun-kʲ----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu--------ɲɲɔ-------ʤeno----li-ʤinɔ-kk-jo- 0.00943 (0.119)ɡeni-ku-lumʤenunkʲ-----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu--------ɲɲɔ-------ʤeno----li-ʤinɔ-k-kjo-
30 of 680.00889 (0.128)ɡeni-k-ulumʤenun-kʲ----ʒu-ɐ----ʎu--ino----xo-ʒəno----ʎ--ʒənu--------ɲɲɔ-------ʤeno----li-ʤinɔ-kk-jo-LeafProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0314foli-afo̯aj--efoʎ--ɐ-ox--afuʎ--əfœj---fɔj----fwe--efɔʎ-ʎa 0.0227 (0.0541)f-oli-af-o̯aj--ef-oʎ--ɐ--ox--af-uʎ--əf-œ---jf-ɔj----fwe---ef-ɔʎ-ʎa 0.0213 (0.0754)foliafo̯a-jefoʎ-ɐ-ox-afuʎ-əfœ--jfɔj---fwe-efɔʎʎa 0.0195 (0.0949)foli-afo̯aj--efoʎ--ɐ-ox--afuʎ--əfœ---jfɔj----fwe--efɔʎ-ʎa 0.0184 (0.113)foliafo̯a-jefo-ʎɐ-o-xafu-ʎəfœ-j-fɔj---fw-eefɔʎʎa 0.0177 (0.131)fol-iafo̯aj--efoʎ--ɐ-ox--afuʎ--əfœj---fɔj----fwe--efɔʎʎ-a 0.0157 (0.147)foliafo̯a-jefo-ʎɐ-o-xafu-ʎəfœ--jfɔj---fw-eefɔʎʎa 0.0145 (0.161)fol-iafo̯aj--efoʎ--ɐ-ox--afuʎ--əfœ---jfɔj----fwe--efɔʎʎ-a 0.0127 (0.174)foliafo̯a-jefoʎ-ɐ-ox-afuʎ-əfœj--fɔj---fwe-efɔʎʎaLiverProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0476fiːkaːtumfikat--fiɡɐdu--iɡado-feʤə---fw-a---fœt----fi-aːt--feɡato- 0.0471 (0.0947)fiːkaːtumfikat--fiɡɐdu--iɡado-feʤə---fw-a---fœ-t---fi-aːt--feɡato- 0.0393 (0.134)fiːkaːtumfikat--fiɡɐdu--iɡado-fe--ʤə-fw---a-fœ--t--fi-aːt--feɡato- 0.0335 (0.167)fiːkaːtumfikat--fiɡɐdu--iɡado-fe--ʤə-fw--a--fœ--t--fi-aːt--feɡato-
31 of 680.0314 (0.199)fiːkaːtumfikat--fiɡɐdu--iɡado-feʤə---fwa----fœt----fi-aːt--feɡato- 0.0304 (0.229)fiːkaːtumfikat--fiɡɐdu--iɡado-f--eʤə-f--w-a-f--œt--fi-aːt--feɡato- 0.0296 (0.259)fiːkaːtumfikat--fiɡɐdu--iɡado-f--eʤə-f--wa--f--œt--fi-aːt--feɡato- 0.0263 (0.285)fiːkaːtumfikat--fiɡɐdu--iɡado-feʤə---f-wa---fœt----fi-aːt--feɡato- 0.0209 (0.306)fiːkaːtumfikat--fiɡɐdu--iɡado-fe--ʤə-fw-a---f--œt--fi-aːt--feɡato-LongProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.654larɡumlarɡ--laɾɡu-laɾɡo-ʎaɾk--laʁʒ--la-ʤ--lark--larɡo- 0.0356 (0.689)larɡumlarɡ--laɾɡu-laɾɡo-ʎaɾk--laʁʒ--laʤ---lark--larɡo- 0.0205 (0.710)larɡumlarɡ--laɾɡu-laɾɡo-ʎaɾk--laʁʒ--la-ʤ--lar-k-larɡo- 0.0154 (0.725)larɡumlarɡ--laɾɡu-laɾɡo-ʎaɾ-k-laʁ-ʒ-la--ʤ-lark--larɡo- 0.0123 (0.737)larɡ-umlarɡ---laɾɡu--laɾɡo--ʎaɾk---laʁʒ---la-ʤ---lark---larɡo-- 0.0120 (0.749)larɡu-mlarɡ---laɾɡu--laɾɡo--ʎaɾk---laʁʒ---la-ʤ---lar--k-larɡo-- 0.00971 (0.759)larɡu-mlarɡ---laɾɡ-u-laɾɡ-o-ʎaɾk---laʁʒ---la-ʤ---lark---larɡ-o- 0.00894 (0.768)larɡum-larɡ---laɾɡ--ulaɾɡ--oʎaɾk---laʁʒ---la-ʤ---lark---larɡ--o 0.00883 (0.777)larɡ-umlarɡ---laɾɡ-u-laɾɡ-o-ʎaɾk---laʁʒ---la-ʤ---lar-k--larɡ-o-LongProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.563l-onɡuml-unɡ--l--õɡu-lwenɡo-ʎ-on---l--ɔ̃---l--ɔ̃---l-unk--l-unɡo- 0.0341 (0.597)l-onɡuml-unɡ--l--õɡu-lwenɡo-ʎ-on---l-ɔ̃----l-ɔ̃----l-unk--l-unɡo- 0.0326 (0.629)lo-nɡumlu-nɡ--l--õɡu-lwenɡo-ʎo-n---l--ɔ̃---l--ɔ̃---lu-nk--lu-nɡo- 0.0310 (0.660)l-onɡuml-unɡ--l-õ-ɡu-lwenɡo-ʎ-on---l--ɔ̃---l--ɔ̃---l-unk--l-unɡo-
32 of 680.0232 (0.683)l-onɡuml-unɡ--l--õɡu-lwenɡo-ʎ-on---l--ɔ̃---l--ɔ̃---l-un-k-l-unɡo- 0.0167 (0.700)l-onɡ-uml-unɡ---l--õɡ-u-lwenɡ-o-ʎ-on----l--ɔ̃----l--ɔ̃----l-un-k--l-unɡ-o- 0.0126 (0.713)l--onɡuml-u-nɡ--l---õɡu-lwe-nɡo-ʎ-o-n---l---ɔ̃---l---ɔ̃---l-u-nk--l-u-nɡo- 0.0123 (0.725)l-onɡum-l-unɡ---l--õɡ--ulwenɡ--oʎ-on----l--ɔ̃----l--ɔ̃----l-unk---l-unɡ--o 0.0113 (0.736)l-on-ɡuml-un-ɡ--l--õ-ɡu-lwen-ɡo-ʎ-on----l--ɔ̃----l--ɔ̃----l-unk---l-un-ɡo-LouseProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0826peːduku-lumpəduk--je-pj-o---ʎu-pj-o---xo-p--o---ʎ--p--u------pj-u------pedoː---li-pidɔk-kjo- 0.0732 (0.156)peːduk-ulumpəduk--je-pj-o---ʎu-pj-o---xo-p--o---ʎ--p--u------pj-u------pedoː---li-pidɔkk-jo- 0.0629 (0.219)peːdu-kulumpədu-k-je-pj-o---ʎu-pj-o---xo-p--o---ʎ--p--u------pj-u------pedoː---li-pidɔkk-jo- 0.0182 (0.237)peːduk-ulumpəduk--je-p-jo---ʎu-p-jo---xo-p--o---ʎ--p--u------p-ju------pedoː---li-pidɔkk-jo- 0.0178 (0.255)peːduk-ulumpəduk-j-e-pj-o--ʎ-u-pj-o--x-o-p--o--ʎ---p--u------pj-u------pedoː--l-i-pidɔkkj-o- 0.0173 (0.272)peːdu-kulumpədu-kj-e-pj-o--ʎ-u-pj-o--x-o-p--o--ʎ---p--u------pj-u------pedoː--l-i-pidɔkkj-o- 0.0168 (0.289)peːduku-lumpəduk--je-p-jo---ʎu-p-jo---xo-p--o---ʎ--p--u------p-ju------pedoː---li-pidɔk-kjo- 0.0166 (0.305)peːdu-kulumpədu-k-je-p-jo---ʎu-p-jo---xo-p--o---ʎ--p--u------p-ju------pedoː---li-pidɔkk-jo- 0.0134 (0.319)peːdukulumpəduk-je-pj-o--ʎu-pj-o--xo-p--o--ʎ--p--u-----pj-u-----pedoː--li-pidɔkkjo-
33 of 68MeatProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.769karnemkarne-kaɾnɨ-kaɾne-kaɾn--ʃɛʁ---ʧɑr---caːr---karne- 0.0113 (0.780)-karnem-karne--kaɾnɨ--kaɾne--kaɾn---ʃɛʁ----ʧɑr---c-aːr----karne- 0.00829 (0.788)k-arnemk-arne-k-aɾnɨ-k-aɾne-k-aɾn--ʃ-ɛʁ---ʧ-ɑr----caːr---k-arne- 0.00786 (0.796)ka-rnemka-rne-ka-ɾnɨ-ka-ɾne-ka-ɾn--ʃɛ-ʁ---ʧɑ-r---c-aːr---ka-rne- 0.00746 (0.804)karne-mkarn-e-kaɾn-ɨ-kaɾn-e-kaɾn---ʃɛʁ----ʧɑr----caːr----karn-e- 0.00746 (0.811)karn-emkarn-e-kaɾnɨ--kaɾn-e-kaɾn---ʃɛʁ----ʧɑr----caːr----karn-e- 0.00714 (0.818)karne-mkarne--kaɾn-ɨ-kaɾn-e-kaɾn---ʃɛʁ----ʧɑr----caːr----karne-- 0.00689 (0.825)karne-mkarne--kaɾn-ɨ-kaɾne--kaɾn---ʃɛʁ----ʧɑr----caːr----karne-- 0.00580 (0.831)karnem-karn--ekaɾn--ɨkaɾn--ekaɾn---ʃɛʁ----ʧɑr----caːr----karn--eMoonProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.815luːnamlunə-lu-ɐ-luna-ʎunə-lyn--løn--lune-luna- 0.0153 (0.830)luːna-mlun-ə-lu-ɐ--luna--ʎunə--lyn---løn---lune--luna-- 0.0115 (0.842)luːnamlunə-luɐ--luna-ʎunə-lyn--løn--lune-luna- 0.00986 (0.852)luː-naml-unə-l-u-ɐ-l-una-ʎ-unə-l-yn--l-øn--l-une-l-una- 0.00871 (0.861)l-uːnamlu-nə-lu--ɐ-lu-na-ʎu-nə-ly-n--lø-n--lu-ne-lu-na- 0.00746 (0.868)luːn-amlunə--lu--ɐ-lun-a-ʎun-ə-lyn---løn---lun-e-lun-a- 0.00531 (0.873)luːn-amlunə--lu-ɐ--luna--ʎunə--lyn---løn---lune--luna-- 0.00483 (0.878)luːnam-lun--əlu---ɐlun--aʎun--əlyn---løn---lun--elun--a 0.00426 (0.882)luːn-amlun-ə-lu--ɐ-lun-a-ʎun-ə-lyn---løn---lune--lun-a-
34 of 68MountainProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.686montemmunte-m-õtɨ-monte-mun---m-ɔ̃---m-ɔ̃---mɔnt--monte- 0.0688 (0.755)montemmunte-m-õtɨ-monte-mun---mɔ̃----mɔ̃----mɔnt--monte- 0.0593 (0.814)montemmunte-mõ-tɨ-monte-mun---m-ɔ̃---m-ɔ̃---mɔnt--monte- 0.00837 (0.823)montemmunte-m-õtɨ-monte-mu--n-m---ɔ̃-m---ɔ̃-mɔnt--monte- 0.00786 (0.830)montemmunte-mõ-tɨ-monte-mun---mɔ̃----mɔ̃----mɔnt--monte- 0.00669 (0.837)m-ontemmu-nte-m--õtɨ-m-onte-m-un---m--ɔ̃---m--ɔ̃---m-ɔnt--m-onte- 0.00589 (0.843)monte-mmunte--m-õt-ɨ-mont-e-mun----m-ɔ̃----m-ɔ̃----mɔnt---monte-- 0.00574 (0.849)mo-ntemm-unte-m--õtɨ-mo-nte-mu-n---m--ɔ̃---m--ɔ̃---mɔ-nt--mo-nte- 0.00540 (0.854)mont-emmunt-e-m-õtɨ--mont-e-mun----m-ɔ̃----m-ɔ̃----mɔnt---mont-e-MouthProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.247bukkambuk-ə-bo-kɐ-bo-ka-bo-kə-bu-ʃ--bɔ-k--bɔ-cɛ-bokka- 0.228 (0.474)bukkambu-kə-bok-ɐ-bok-a-bok-ə-buʃ---bɔk---bɔc-ɛ-bokka- 0.164 (0.639)bukkambuk-ə-bok-ɐ-bok-a-bok-ə-buʃ---bɔk---bɔc-ɛ-bokka- 0.138 (0.777)bukkambu-kə-bo-kɐ-bo-ka-bo-kə-bu-ʃ--bɔ-k--bɔ-cɛ-bokka- 0.00557 (0.782)buk-kambuk--ə-bo--kɐ-bo--ka-bo--kə-bu--ʃ--bɔ--k--bɔ-c-ɛ-bok-ka- 0.00474 (0.787)bukk-ambuk-ə--bo-k-ɐ-bo-k-a-bo-k-ə-bu-ʃ---bɔ-k---bɔ-c-ɛ-bokk-a- 0.00469 (0.792)bu-kkambu--kə-bo-k-ɐ-bo-k-a-bo-k-ə-bu-ʃ---bɔ-k---bɔc--ɛ-bo-kka- 0.00457 (0.796)bukkambuk-ə-bok-ɐ-bok-a-bok-ə-buʃ---bɔk---bɔ-cɛ-bokka- 0.00451 (0.801)bu-kkambu-k-ə-bo--kɐ-bo--ka-bo--kə-bu--ʃ--bɔ--k--bɔc--ɛ-bo-kka-
35 of 68NarrowProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0127-str-iktum-str-ɨmt--ɨʃtɾ-ɐj-tu-estɾ-e-ʧo-əstɾ-ɛ-t---etʁwa-----str-øː-----str-ɛ-t---str-etto- 0.00954 (0.0223)-striktum-strɨmt--ɨʃtɾɐjt-u-estɾeʧ-o-əstɾɛt---e-tʁwa----str-øː----strɛt----stretto- 0.00909 (0.0314)-stri-ktum-strɨm-t--ɨʃtɾɐj-t-u-estɾe-ʧ-o-əstɾɛ-t----etʁw-a----str--øː----strɛ-t----stre-tto- 0.00789 (0.0393)-strik--tum-strɨ-m-t--ɨʃtɾɐj---tu-estɾe---ʧo-əstɾɛ---t--e-tʁw---a---strøː-------strɛ---t---stre--tto- 0.00731 (0.0466)-strik--tum-strɨ--mt--ɨʃtɾɐj---tu-estɾe---ʧo-əstɾɛ---t---etʁw----a--str-----øː--strɛ---t---stre-t-to- 0.00706 (0.0536)-strik--tum-strɨ-m-t--ɨʃtɾɐj---tu-estɾe---ʧo-əstɾɛ---t--e-tʁw----a--str-----øː--strɛ---t---stre--tto- 0.00686 (0.0605)-strik-tum-strɨ-mt--ɨʃtɾɐj--tu-estɾe--ʧo-əstɾɛ--t--e-tʁw---a--strøː------strɛ--t---stret-to- 0.00660 (0.0671)-striktum-strɨmt--ɨʃtɾɐj-tu-estɾe-ʧo-əstɾɛ-t--e-tʁw-a---str--øː---strɛ-t---stretto- 0.00634 (0.0734)-stri-kt-um-strɨm-t---ɨʃtɾɐj--t-u-estɾe--ʧ-o-əstɾɛ--t---e-tʁw----a--str-----øː--strɛ--t----stre--tto-NearProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.168w-iːkiːnumv-eʧin--v-ɨziɲu-b-eθino-b-ə-i---vwazɛ̃---v-ɛhɛ̃---v-iʧin--v-iʧino- 0.0979 (0.266)wiːkiː-numveʧi-n--vɨzi-ɲu-beθi-no-bə-i----vw-azɛ̃--v--ɛhɛ̃--viʧi-n--viʧi-no- 0.0303 (0.296)wiːkiː-numveʧi-n--vɨzi-ɲu-beθi-no-bə-i----vw-azɛ̃--vɛ--hɛ̃--viʧi-n--viʧi-no- 0.0260 (0.322)w-iːkiːnumv-eʧin--v-ɨziɲu-b-eθino-b-ə---i-vwaz--ɛ̃-v-ɛh--ɛ̃-v-iʧin--v-iʧino- 0.0258 (0.348)w-iːkiːnumv-eʧin--v-ɨziɲu-b-eθino-b-ə-i---vwaz-ɛ̃--v-ɛh-ɛ̃--v-iʧin--v-iʧino- 0.0157 (0.363)wiːkiːn-umveʧin---vɨziɲ-u-beθin-o-bə-i----vw-a-zɛ̃-v--ɛ-hɛ̃-viʧin---viʧin-o- 0.0147 (0.378)w-iːkiːnumv-eʧin--v-ɨziɲu-b-eθino-b-ə--i--vwaz-ɛ̃--v-ɛh-ɛ̃--v-iʧin--v-iʧino- 0.0146 (0.393)wiːkiːnumveʧin--vɨziɲu-beθino-bə-i---vw-azɛ̃-v--ɛhɛ̃-viʧin--viʧino-
36 of 680.0133 (0.406)wiːkiː-numveʧi-n--vɨzi-ɲu-beθi-no-b-əi----v-wazɛ̃--v--ɛhɛ̃--viʧi-n--viʧi-no-NewProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.141n-owumn-ow--n-ovu-nwebo-n-ɔw--n-œf--n-u---ɲ-uːf--nwɔvo- 0.0334 (0.174)n-owumn-ow--n-ovu-nwebo-n-ɔw--n-œf--n-u---ɲuː-f--nwɔvo- 0.0243 (0.199)n--owumn--ow--n--ovu-nw-ebo-n--ɔw--n--œf--n--u---ɲ--uːf--n-wɔvo- 0.0230 (0.222)n-owumn-o-w-n-ovu-nwebo-n-ɔw--n-œf--n-u---ɲ-uːf--nwɔvo- 0.0164 (0.238)nowum--n--o-w-n--o-vun-we-bon--ɔ-w-n--œ-f-n--u---ɲ--uː-f-n-wɔ-vo 0.0127 (0.251)nowum-n--ow-n--ovun-webon--ɔw-n--œf-n--u--ɲ--uːf-n-wɔvo 0.0121 (0.263)no-wumno-w--n-ovu-nwebo-n-ɔw--n-œf--n-u---ɲ-uːf--nwɔvo- 0.0107 (0.274)n-owumn-ow--no-vu-nwebo-n-ɔw--n-œf--n-u---ɲ-uːf--nwɔvo- 0.0103 (0.284)n-owumn-ow--n-ovu-nwebo-nɔ-w--nœ-f--nu----ɲuː-f--nwɔvo-NightProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.222noctemno̯apte-noj-tɨ-no-ʧe-ni-t--nɥ-i--ny-t--ɲɔ-t--nɔtte- 0.200 (0.422)noctemno̯apte-nojt-ɨ-noʧ-e-nit---nɥi---nyt---ɲɔt---nɔtte- 0.0454 (0.468)n-octemn-o̯apte-n-oj-tɨ-n-o-ʧe-n-i-t--nɥi----n-y-t--ɲ-ɔ-t--n-ɔtte- 0.0344 (0.502)n-octemn-o̯apte-n-ojt-ɨ-n-oʧ-e-n-it---nɥi----n-yt---ɲ-ɔt---n-ɔtte- 0.0302 (0.532)noctemno̯apte-nojt-ɨ-noʧ-e-nit---nɥ--i-nyt---ɲɔt---nɔtte-
37 of 680.0291 (0.562)noctemno̯apte-noj-tɨ-no-ʧe-ni-t--nɥ--i-ny-t--ɲɔ-t--nɔtte- 0.0236 (0.585)noc-temno̯ap-te-noj--tɨ-no--ʧe-ni--t--nɥ-i---ny--t--ɲɔ--t--nɔt-te- 0.0134 (0.599)noc-temno̯ap-te-nojt--ɨ-noʧ--e-nit----nɥ-i---nyt----ɲɔt----nɔt-te- 0.0126 (0.611)no-ctemno̯a-pte-noj-t-ɨ-no-ʧ-e-ni-t---nɥi----ny-t---ɲɔ-t---nɔ-tte-NotProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.795noːnnu-nɐ̃w-no-no-nɔ̃-nɔ̃-nɔ-non 0.0181 (0.813)noːn---nunɐ̃w--no--no--nɔ̃--nɔ̃--nɔ--non- 0.0177 (0.831)noːnn-unɐ̃w-no-no-nɔ̃-nɔ̃-nɔ-non 0.0176 (0.848)noːn-n--unɐ̃w--no--no--nɔ̃--nɔ̃--nɔ--non- 0.0169 (0.865)noː-nn-u-n-ɐ̃w-n-o-n-o-n-ɔ̃-n-ɔ̃-n-ɔ-n-on 0.0125 (0.878)noː-nn-u-nɐ̃w--no--no--nɔ̃--nɔ̃--nɔ--no-n 0.0105 (0.888)noː-nnu--nɐ̃w--no--no--nɔ̃--nɔ̃--nɔ--non- 0.00920 (0.897)n-oːnnu--nɐ̃w--no--no--nɔ̃--nɔ̃--nɔ--no-n 0.00800 (0.905)noːn-nu--nɐ̃w--no--no--nɔ̃--nɔ̃--nɔ--no-nOldProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0126w-etu-lumv-ekʲ-----v-ɐ---ʎu-bje---xo-b-e---ʎ--vjø------v-i------vje---li-v-ɛk-kjo- 0.00717 (0.0197)-we-t-ulum-ve-kʲ------vɐ----ʎu-bje----xo--be----ʎ---vj-----ø--v------i--vj--e-li--vɛkk--jo- 0.00683 (0.0266)we-tu-lumve----kʲ--v----ɐʎu-b---jexo-b----eʎ--v---jø---v----i---v---jeli-vɛkkj--o-
38 of 680.00680 (0.0334)wetulumvekʲ----v--ɐʎu-bj-exo-b--eʎ--vj-ø---v--i---vj-eli-vɛkkjo- 0.00549 (0.0389)w-e-tulumv-e-kʲ----v-ɐ---ʎu-bje---xo-b-e---ʎ--vjø------v-i------vje---li-v-ɛkk-jo- 0.00531 (0.0442)wet-u--lum-v---e-----kʲv---ɐ--ʎu--b--je--xo--b---e--ʎ---v--jø------v---i------v--je--li--v---ɛkkjo-- 0.00514 (0.0493)-w-etu-lum-v-ekʲ------v-ɐ---ʎu--bje---xo-b--e---ʎ---vjø-------v-i-------vje---li--v-ɛk-kjo- 0.00511 (0.0544)w---etu--lu-mv---------ekʲ-v-----ɐ--ʎu--bj----e--xo--b-----e--ʎ---v--j--ø------v-----i------v-j---e--li--v-----ɛkkjo-- 0.00491 (0.0593)w-et-ulumv-ekʲ-----v-ɐ---ʎu-bje---xo-b-e---ʎ--vjø------vi-------vje---li-v-ɛkk-jo-OneProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.673uːnumunu--ũ--uno-un---œ̃---ɔ̃--un--uno- 0.0669 (0.740)uːnumunu---ũ-uno-un---œ̃---ɔ̃--un--uno- 0.0530 (0.793)uːnumunu-ũ---uno-un---œ̃---ɔ̃--un--uno- 0.0506 (0.844)uːnumunu--ũ--uno-un--œ̃---ɔ̃---un--uno- 0.0115 (0.855)uːnum-un--u-ũ---un--oun----œ̃----ɔ̃---un---un--o 0.00966 (0.865)uː-num-unu---ũ---uno--un----œ̃----ɔ̃---un---uno- 0.00843 (0.873)uːn-umunu---ũ---uno--un----œ̃----ɔ̃---un---uno-- 0.00646 (0.880)uːnu-mun-u--ũ---un-o-un----œ̃----ɔ̃---un---un-o- 0.00497 (0.885)uːnumunu-ũ---uno-un--œ̃---ɔ̃---un--uno-
39 of 68OtherProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.745alterumalt----o-t-ɾu-o-t-ɾo-alt-ɾə-o-t-ʁ--o-t----alt-ri-alt-ro- 0.0226 (0.768)alteru-malt-----o-t-ɾ-u-o-t-ɾ-o-alt-ɾ-ə-o-t-ʁ---o-t-----alt-r-i-alt-r-o- 0.0193 (0.787)alterum-alt-----o-t-ɾ--uo-t-ɾ--oalt-ɾ--əo-t-ʁ---o-t-----alt-r--ialt-r--o 0.0160 (0.803)alter-umalt-----o-t-ɾu--o-t-ɾo--alt-ɾə--o-t-ʁ---o-t-----alt-ri--alt-ro-- 0.00874 (0.812)alterum-alt-----o-t-ɾu--o-t-ɾo--alt-ɾə--o-t----ʁo-t-----alt-ri--alt-ro-- 0.00860 (0.820)alterumalt----o-t-ɾu-o-t-ɾo-alt-ɾə-o-t--ʁ-o-t----alt-ri-alt-ro- 0.00846 (0.829)alterumalt----o-t-ɾu-o-t-ɾo-alt-ɾə--ot-ʁ---ot----alt-ri-alt-ro- 0.00551 (0.834)alter-umalt-----o-t--ɾu-o-t--ɾo-alt--ɾə-o-t--ʁ--o-t-----alt--ri-alt--ro- 0.00523 (0.839)alteru-malt-----o-t-ɾu--o-t-ɾo--alt-ɾ-ə-o-t-ʁ---o-t-----alt-ri--alt-ro--RainProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0127pluwiamplo̯a-je-ʃ-u-vɐ-ʝ-ubja-plu-ʒə-plɥ-i--plɛ-f--plo-je-pjɔdʤa- 0.0115 (0.0242)plu-wiamplo̯a--je-ʃ-u--vɐ-ʝ-ub-ja-plu--ʒə-plɥ--i--plɛ--f--plo--je-pjɔ-dʤa- 0.0103 (0.0345)plu--wiamplo̯a---je-ʃ-u---vɐ-ʝ-ub--ja-plu---ʒə-plɥ---i--plɛ---f--plo---je-pjɔ-d-ʤa- 0.0102 (0.0447)pluwiamplo̯a-je-ʃ-uv-ɐ-ʝ-ubja-plu-ʒə-plɥ-i--plɛ-f--plo-je-pjɔdʤa- 0.00889 (0.0535)plu-w-iamplo̯a---je-ʃ-u---vɐ-ʝ-u--bja-plu---ʒə-plɥ----i-plɛ----f-plo---je-pjɔd--ʤa- 0.00874 (0.0623)plu--wiamplo̯a--j-e-ʃ-u--v-ɐ-ʝ-ub-j-a-plu--ʒ-ə-plɥ--i---plɛ--f---plo--j-e-pjɔ-dʤ-a- 0.00871 (0.0710)plu--wiamplo̯a--j-e-ʃ-u--v-ɐ-ʝ-u-bj-a-plu--ʒ-ə-plɥ----i-plɛ----f-plo--j-e-pjɔd-ʤ-a- 0.00871 (0.0797)pluwiamplo̯a-je-ʃ-u-vɐ-ʝ-ubja-pluʒ-ə-plɥi---plɛf---plo-je-pjɔdʤa-
40 of 680.00826 (0.0880)pluw--iamplo̯a---je-ʃ-u---vɐ-ʝ-u-b-ja-plu---ʒə-pl----ɥi-pl----ɛf-plo---je-pjɔ--dʤa-RedProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.242russumro-ʃu-ʁo-ʃu-ro-xo-ro-s--ʁu----rɔ-ʤ--rɔ-s--rosso- 0.218 (0.460)russumroʃ-u-ʁoʃ-u-rox-o-ros---ʁu----rɔʤ---rɔs---rosso- 0.165 (0.625)russumro-ʃu-ʁoʃ-u-rox-o-ros---ʁu----rɔʤ---rɔs---rosso- 0.164 (0.790)russumroʃ-u-ʁo-ʃu-ro-xo-ro-s--ʁu----rɔ-ʤ--rɔ-s--rosso- 0.00509 (0.795)r-ussumro--ʃu-ʁo--ʃu-ro--xo-ro--s--ʁu-----rɔ--ʤ--rɔ--s--ro-sso- 0.00437 (0.799)russumroʃu--ʁoʃ-u-rox-o-ros---ʁu----rɔʤ---rɔs---rosso- 0.00426 (0.803)rus-sumro-ʃ-u-ʁoʃ--u-rox--o-ros----ʁu-----rɔʤ----rɔs----ros-so- 0.00423 (0.808)russumro-ʃu-ʁoʃ-u-rox-o-ros---ʁ-u---rɔʤ---rɔs---rosso- 0.00403 (0.812)russum-roʃ---uʁoʃ---urox---oros----ʁu-----rɔʤ----rɔs----ross--oRiverProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.285riːwumrɨw--ʁiu--rio--riw--ʁy---rɛ---riu--rio-- 0.197 (0.482)riːwumrɨ-w-ʁi-u-ri-o-ri-w-ʁy---rɛ---ri-u-ri-o- 0.150 (0.633)riːwumrɨw--ʁiu--rio--riw--ʁ-y--r-ɛ--riu--rio-- 0.124 (0.757)riːwumrɨ-w-ʁi-u-ri-o-ri-w-ʁ--y-r--ɛ-ri-u-ri-o- 0.0344 (0.791)riːwumr-ɨw-ʁ-iu-r-io-r-iw-ʁ-y--r-ɛ--r-iu-r-io- 0.0210 (0.812)riːwumr-ɨw-ʁ-iu-r-io-r-iw-ʁ--y-r--ɛ-r-iu-r-io-
41 of 680.0106 (0.823)riːwumrɨw--ʁi-u-ri-o-ri-w-ʁy---rɛ---ri-u-ri-o- 0.00491 (0.828)riːw-umrɨ-w--ʁi-u--ri-o--ri-w--ʁy----rɛ----ri-u--ri-o-- 0.00434 (0.832)riː-wumrɨ-w--ʁiu---rio---riw---ʁy----rɛ----riu---rio---RoundProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0299rotundumrətund--ʁɨd-õdu-redondo-rədo----ʁ--ɔ̃----r--ɔ̃----tarɔnt--rotondo- 0.0295 (0.0594)rotundumrətund--ʁɨd-õdu-redondo-rəd---o-ʁ-----ɔ̃-r-----ɔ̃-tarɔnt--rotondo- 0.0245 (0.0839)rotundumrətund--ʁɨd-õdu-redondo-r--ə-do-ʁ-----ɔ̃-r-----ɔ̃-tarɔnt--rotondo- 0.0243 (0.108)--rotundum--rətund----ʁɨd-õdu---redondo---rəd---o---ʁ-----ɔ̃---r-----ɔ̃-tar--ɔnt----rotondo- 0.0237 (0.132)rotundumrətund--ʁɨd-õdu-redondo-rədo----ʁɔ̃------rɔ̃------tarɔnt--rotondo- 0.0221 (0.154)--rotundum--rətund----ʁɨd-õdu---redondo---rədo------ʁɔ̃--------rɔ̃------tar--ɔnt----rotondo- 0.0207 (0.175)--rotundum--rətund----ʁɨd-õdu---redondo---rəd---o---ʁɔ̃--------rɔ̃------tar--ɔnt----rotondo- 0.0199 (0.195)rotundumrətund--ʁɨd-õdu-redondo-rə---do-ʁ-----ɔ̃-r-----ɔ̃-tarɔnt--rotondo- 0.0147 (0.209)--rotundum--rətund----ʁɨd-õdu---redondo---rə---do---ʁ-----ɔ̃---r-----ɔ̃-tar--ɔnt----rotondo-
42 of 68SeaProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.843maremaremaɾ-maɾ-maɾ-mɛʁ-mer-maːr-mare 0.0101 (0.853)mare-mar-emaɾ--maɾ--maɾ--mɛʁ--mer--maːr--mar-e 0.00926 (0.862)mar-emare-maɾ--maɾ--maɾ--mɛʁ--mer--maːr--mare- 0.00783 (0.870)mar-emare-maɾ--maɾ--maɾ--mɛʁ--mer--maːr--mar-e 0.00757 (0.878)mare-mar-emaɾ--maɾ--maɾ--mɛʁ--mer--maːr--mare- 0.00646 (0.884)mare-mare-ma--ɾma--ɾma--ɾmɛ--ʁme--rmaː--rmare- 0.00503 (0.889)mar-ema-rema-ɾ-ma-ɾ-ma-ɾ-mɛ-ʁ-me-r-maː-r-ma-re 0.00483 (0.894)mar-emar-ema-ɾ-ma-ɾ-ma-ɾ-mɛ-ʁ-me-r-maːr--mar-e 0.00449 (0.899)ma-rema-rema-ɾ-ma-ɾ-ma-ɾ-mɛ-ʁ-me-r-m-aːr-ma-reSeedProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.336ɡraːnumɡr--ɨw-ɡɾ-ɐ̃w--ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano- 0.270 (0.606)ɡraːnumɡrɨw---ɡɾ-ɐ̃w--ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano- 0.0265 (0.632)ɡraːnumɡr--ɨw-ɡɾ--ɐ̃w-ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano- 0.0232 (0.655)ɡraːnumɡr--ɨw-ɡɾ-ɐ̃w--ɡɾano-ɡɾa---ɡʁɛ̃---ɡrin--ɡran--ɡrano- 0.0222 (0.677)ɡraːnumɡr--ɨw-ɡɾɐ̃w---ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano- 0.0211 (0.699)ɡraːnumɡrɨw---ɡɾ--ɐ̃w-ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano- 0.0179 (0.716)ɡraːnumɡrɨw---ɡɾɐ̃w---ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano- 0.0163 (0.733)ɡraːnumɡrɨw---ɡɾ-ɐ̃w--ɡɾano-ɡɾa---ɡʁɛ̃---ɡrin--ɡran--ɡrano- 0.0147 (0.747)ɡraːnumɡr-ɨw--ɡɾ-ɐ̃w--ɡɾano-ɡɾa---ɡʁ-ɛ̃--ɡrin--ɡran--ɡrano-
43 of 68SeedProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.182seːm-entiasəm-ɨnʦə-sɨm--ẽtɨ-simjente-səm-en---səm--ɑ̃s--sim--ẽs--sem-ɛnʧɛ-sem-ente- 0.177 (0.359)seːm-entiasəm-ɨnʦ-əsɨm--ẽt-ɨsimjent-esəm-en---səm--ɑ̃s--sim--ẽs--sem-ɛnʧ-ɛsem-ent-e 0.0519 (0.411)seːm-entiasəm-ɨnʦ-əsɨm--ẽt-ɨsimjent-esəm-en---səm-ɑ̃s---sim-ẽs---sem-ɛnʧ-ɛsem-ent-e 0.0402 (0.451)seːm-entiasəm-ɨnʦə-sɨm--ẽtɨ-simjente-səm-en---səm-ɑ̃s---sim-ẽs---sem-ɛnʧɛ-sem-ente- 0.0228 (0.474)seːm-entiasəm-ɨnʦə-sɨm--ẽtɨ-simjente-səm-en---səm--ɑ̃-s-sim--ẽ-s-sem-ɛnʧɛ-sem-ente- 0.0212 (0.495)seːm-entia-səm-ɨnʦ-ə-sɨm--ẽt-ɨ-simjent-e-səm-en----səm--ɑ̃---ssim--ẽ---ssem-ɛnʧ-ɛ-sem-ent-e- 0.0196 (0.515)seːm-entiasəm-ɨnʦə-sɨm--ẽtɨ-simjente-səm-en---səm-ɑ̃-s--sim-ẽ-s--sem-ɛnʧɛ-sem-ente- 0.0170 (0.532)seːm-entiasəm-ɨnʦ-əsɨm--ẽt-ɨsimjent-esəm-en---səm-ɑ̃-s--sim-ẽ-s--sem-ɛnʧ-ɛsem-ent-e 0.0130 (0.545)seːm-entiasəm-ɨnʦ-əsɨm--ẽt-ɨsimjent-esəm-en---səm--ɑ̃--ssim--ẽ--ssem-ɛnʧ-ɛsem-ent-eSkinProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.112p-ellempjel-e-p-ɛ-lɨ-pje-l--p-e-ʎ--p-o----p-ɛ----pjɛ-l--p-ɛlle- 0.108 (0.220)p-ellempje-le-p-ɛl-ɨ-pjel---p-eʎ---p-o----p-ɛ----pjɛl---p-ɛlle- 0.102 (0.322)p-ellempjel-e-p-ɛl-ɨ-pjel---p-eʎ---p-o----p-ɛ----pjɛl---p-ɛlle- 0.0973 (0.420)p-ellempje-le-p-ɛ-lɨ-pje-l--p-e-ʎ--p-o----p-ɛ----pjɛ-l--p-ɛlle- 0.0367 (0.456)p-el-lempje--le-p-ɛlɨ---pjel----p-eʎ----p-o-----p-ɛ-----pjɛl----p-ɛl-le- 0.0239 (0.480)p-el-lempjel--e-p-ɛlɨ---pjel----p-eʎ----p-o-----p-ɛ-----pjɛl----p-ɛl-le- 0.0225 (0.502)p-elle-mpjel-e--p-ɛ-l-ɨ-pje-l---p-e-ʎ---p-o-----p-ɛ-----pjɛ-l---p-ɛlle-- 0.0215 (0.524)p-ell-empje-l-e-p-ɛ-lɨ--pje-l---p-e-ʎ---p-o-----p-ɛ-----pjɛ-l---p-ɛll-e-
44 of 680.0177 (0.542)pe-llempje-le-p-ɛ-lɨ-pje-l--p-e-ʎ--p-o----p-ɛ----pjɛ-l--p-ɛlle-SkyProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.144k-ajlumʧ-er--s-ɛw--θjelo-s-ɛl--sjɛl--s-ir--ʧ-iːl--ʧ-ɛlo- 0.120 (0.264)k-ajlumʧ-er--s-ɛ-w-θjelo-s-ɛl--sjɛl--s-ir--ʧ-iːl--ʧ-ɛlo- 0.0796 (0.344)k--ajlumʧ--er--s--ɛw--θ-jelo-s--ɛl--sj-ɛl--s--ir--ʧ--iːl--ʧ--ɛlo- 0.0746 (0.418)k--ajlumʧ--er--s--ɛ-w-θ-jelo-s--ɛl--sj-ɛl--s--ir--ʧ--iːl--ʧ--ɛlo- 0.0435 (0.462)k--ajlumʧ--er--s--ɛw--θj-elo-s--ɛl--s-jɛl--s--ir--ʧ--iːl--ʧ--ɛlo- 0.0303 (0.492)k-ajlumʧ-er--s-ɛw--θjelo-s-ɛl--sjɛl--si-r--ʧ-iːl--ʧ-ɛlo- 0.0297 (0.522)k--ajlumʧ--er--s--ɛ-w-θj-elo-s--ɛl--s-jɛl--s--ir--ʧ--iːl--ʧ--ɛlo- 0.0225 (0.544)k-ajlumʧ-er--s-ɛ-w-θjelo-s-ɛl--sjɛl--si-r--ʧ-iːl--ʧ-ɛlo- 0.0154 (0.560)-k-ajlum-ʧ-er---s-ɛ-w-θj-elo--s-ɛl---sjɛl---s-ir---ʧ-iːl---ʧ-ɛlo-StarProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0560-st-eːllam-st----e̯a-ɨʃtɾe-lɐ-estɾe-ʝa-əst-ɛ-l--etw-a-l---st-œ-l---st-ɛ-le--st-ella- 0.0525 (0.108)-st-eːllam-st----e̯a-ɨʃtɾel-ɐ-estɾeʝ-a-əst-ɛl---etw-al----st-œl----st-ɛl-e--st-ella- 0.0429 (0.151)-st--eːllam-st-----e̯a-ɨʃt-ɾel-ɐ-est-ɾeʝ-a-əst--ɛl----etw-al----st--œl----st--ɛl-e--st--ella-
45 of 680.0411 (0.193)-st--eːllam-st-----e̯a-ɨʃt-ɾel-ɐ-est-ɾeʝ-a-əst--ɛl---e-tw-al----st--œl----st--ɛl-e--st--ella- 0.0335 (0.226)-st--eːllam-st-----e̯a-ɨʃt-ɾe-lɐ-est-ɾe-ʝa-əst--ɛ-l---etw-a-l---st--œ-l---st--ɛ-le--st--ella- 0.0282 (0.254)-st--eːllam-st-----e̯a-ɨʃt-ɾe-lɐ-est-ɾe-ʝa-əst--ɛ-l--e-tw-a-l---st--œ-l---st--ɛ-le--st--ella- 0.0269 (0.281)-st--eːllam-st-----e̯a-ɨʃtɾ-el-ɐ-estɾ-eʝ-a-əst--ɛl----et-wal----st--œl----st--ɛl-e--st--ella- 0.0214 (0.302)-st--eːllam-st-----e̯a-ɨʃtɾ-el-ɐ-estɾ-eʝ-a-əst--ɛl---e-t-wal----st--œl----st--ɛl-e--st--ella- 0.0193 (0.322)-st--eːllam-st-----e̯a-ɨʃtɾ-e-lɐ-estɾ-e-ʝa-əst--ɛ-l--e-t-wa-l---st--œ-l---st--ɛ-le--st--ella-StoneProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.347p-etrampjatrə-p-ɛdɾɐ-pjedɾa-p-edɾə-pjɛ-ʁ--p-i-r--pje-re-pjɛtra- 0.0698 (0.416)p-etrampjatrə-p-ɛdɾɐ-pjedɾa-p-edɾə-pjɛ-ʁ--pi--r--pje-re-pjɛtra- 0.0500 (0.466)p-etrampjatrə-pɛ-dɾɐ-pjedɾa-p-edɾə-pjɛ-ʁ--p-i-r--pje-re-pjɛtra- 0.0469 (0.513)p-etrampjatrə-p-ɛdɾɐ-pjedɾa-pe-dɾə-pjɛ-ʁ--p-i-r--pje-re-pjɛtra- 0.0253 (0.539)pe-trampjatrə-p-ɛdɾɐ-pjedɾa-p-edɾə-pjɛ-ʁ--p-i-r--pje-re-pjɛtra- 0.0207 (0.559)p-etrampjatrə-p-ɛdɾɐ-pjedɾa-pe-dɾə-pj-ɛʁ--p--ir--pje-re-pjɛtra- 0.0136 (0.573)p-etrampjatrə-pɛ-dɾɐ-pjedɾa-p-edɾə-pjɛ-ʁ--pi--r--pje-re-pjɛtra- 0.0127 (0.586)p-et-rampjat-rə-p-ɛ-dɾɐ-pje-dɾa-p-e-dɾə-pjɛ--ʁ--p-i--r--pje--re-pjɛt-ra- 0.0111 (0.597)p-etrampjatrə-p-ɛdɾɐ-pjedɾa-pe-dɾə-pjɛ-ʁ--pi--r--pje-re-pjɛtra-
46 of 68TailProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.409kau̯damko̯adə-kau̯dɐ-kola-ku-ə-kø---kɔ-w-kɔdɛ-koda- 0.216 (0.625)kau̯damko̯adə-kau̯dɐ-kola-ku-ə-k--ø-kɔ-w-kɔdɛ-koda- 0.0576 (0.682)kau̯d-amko̯ad-ə-kau̯d-ɐ-ko-la-ku--ə-kø----kɔ--w-kɔd-ɛ-kod-a- 0.0464 (0.729)kau̯-damko̯a-də-kau̯-dɐ-kol-a-ku--ə-kø----kɔ--w-kɔ-dɛ-ko-da- 0.0275 (0.756)kau̯-damko̯a-də-kau̯-dɐ-kol-a-ku--ə-k---ø-kɔ--w-kɔ-dɛ-ko-da- 0.0240 (0.780)kau̯d-amko̯ad-ə-kau̯d-ɐ-ko-la-ku--ə-k---ø-kɔ--w-kɔd-ɛ-kod-a- 0.0155 (0.796)kau̯damko̯adə-kau̯dɐ-kola-kuə--kø---kɔw--kɔdɛ-koda- 0.00677 (0.802)k-au̯damko̯a-də-k-au̯dɐ-k-ola-k-u-ə-k-ø---k-ɔ-w-k-ɔdɛ-k-oda- 0.00531 (0.808)kau̯-damk-o̯adə-kau̯-dɐ-ko-la-ku--ə-kø----kɔ--w-kɔ-dɛ-ko-da-ThereProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.299illaːk-l-a--l-a-aʝ-a-əʎ-a--l-a--l-a--l-a--l-a- 0.262 (0.561)illaːk--la---la-a-ʝa-ə-ʎa---la---la---la---la- 0.0544 (0.615)i-llaːk--l-a---l-a--aʝ-a--əʎ-a---l-a---l-a---l-a---l-a- 0.0528 (0.668)i-llaːk---la----la--a-ʝa--ə-ʎa----la----la----la----la- 0.0392 (0.707)-illaːk--l-a---l-a-a-ʝ-a-ə-ʎ-a---l-a---l-a---l-a---l-a- 0.0314 (0.739)il-laːk---la----la---aʝa---əʎa----la----la----la----la- 0.0304 (0.769)-illaːk---la----la-a--ʝa-ə--ʎa----la----la----la----la- 0.0143 (0.783)i--llaːk---l-a----l-a--a-ʝ-a---əʎ-a----l-a----l-a----l-a----l-a- 0.0105 (0.794)--illaːk---l-a----l-a-a--ʝ-a--ə-ʎ-a----l-a----l-a----l-a----l-a-
47 of 68ThickProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.199krassumɡras---ɡɾa-ʃu-ɡɾa-so-ɡɾa-s--ɡʁɑ----krɑ----ɡra-s--ɡrasso- 0.198 (0.398)krassumɡra-s--ɡɾaʃ-u-ɡɾas-o-ɡɾas---ɡʁɑ----krɑ----ɡras---ɡrasso- 0.175 (0.573)krassumɡra-s--ɡɾa-ʃu-ɡɾa-so-ɡɾa-s--ɡʁɑ----krɑ----ɡra-s--ɡrasso- 0.170 (0.742)krassumɡras---ɡɾaʃ-u-ɡɾas-o-ɡɾas---ɡʁɑ----krɑ----ɡras---ɡrasso- 0.00631 (0.748)krassumɡras---ɡɾaʃ-u-ɡɾas-o-ɡɾas---ɡʁ---ɑ-kr---ɑ-ɡras---ɡrasso- 0.00554 (0.754)k-rassum-ɡra-s---ɡɾaʃ-u--ɡɾas-o--ɡɾas----ɡʁɑ-----krɑ-----ɡras----ɡrasso- 0.00551 (0.759)-krassumɡ-ra-s--ɡ-ɾaʃ-u-ɡ-ɾas-o-ɡ-ɾas---ɡ-ʁɑ----k-rɑ----ɡ-ras---ɡ-rasso- 0.00503 (0.764)k-rassum-ɡra-s---ɡɾa-ʃu--ɡɾa-so--ɡɾa-s---ɡʁɑ-----krɑ-----ɡra-s---ɡrasso- 0.00480 (0.769)-krassumɡ-ra-s--ɡ-ɾa-ʃu-ɡ-ɾa-so-ɡ-ɾa-s--ɡ-ʁɑ----k-rɑ----ɡ-ra-s--ɡ-rasso-ThinProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.706minuː-tummənunt--mi-u-du-menu-do-mənu-t--məny----mœnu----minuː-t--minu-to- 0.0128 (0.719)min-uː-tummənu-nt--mi-u--du-menu--do-mənu--t--məny-----mœnu-----minuː--t--minu--to- 0.0124 (0.731)minuː-t-ummənunt---mi-u--du-menu--do-mənu-t---məny-----mœnu-----minuː-t---minu-t-o- 0.0117 (0.743)minuː-tu-mmənunt---mi-u-d-u-menu-d-o-mənu-t---məny-----mœnu-----minuː-t---minu-t-o- 0.0116 (0.754)minuː--tummən-unt--mi--u-du-men-u-do-mən-u-t--mən-y----mœn-u----min-uː-t--min-u-to- 0.00989 (0.764)minuː--tummənun-t--mi-u-d-u-menu-d-o-mənu--t--məny-----mœnu-----minuː--t--minu--to-
48 of 680.00963 (0.774)minuː-t-ummənunt---mi-u-du--menu-do--mənu-t---məny-----mœnu-----minuː-t---minu-to-- 0.00957 (0.783)m-inuː-tummə-nunt--m-i-u-du-m-enu-do-m-ənu-t--m-əny----m-œnu----m-inuː-t--m-inu-to- 0.00834 (0.792)minuː-tummənunt--mi-u-du-menu-do-mənu-t--mən---y-mœn---u-minuː-t--minu-to-ThreeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.364treːstrej-tɾeʃtɾestrɛstʁwɑtrøstreː-tre- 0.0736 (0.438)treːs-trej--tɾeʃ-tɾes-trɛs-tʁ-wɑtrøs-treː--tre-- 0.0692 (0.507)treːs-trej--tɾeʃ-tɾes-trɛs-tʁw-ɑtrøs-treː--tre-- 0.0615 (0.568)treːstr-ejtɾeʃtɾestrɛstʁwɑtrøstreː-tre- 0.0476 (0.616)treː-strej--tɾe-ʃtɾe-strɛ-stʁwɑ-trø-streː--tre-- 0.0395 (0.656)tr-eːstr-ej-tɾ-eʃtɾ-estr-ɛstʁwɑ-tr-østr-eː-tr-e- 0.0206 (0.676)treːstrej-tɾeʃtɾestrɛstʁwɑtrøstr-eːtre- 0.0167 (0.693)treː--strej---tɾeʃ--tɾes--trɛs--tʁw-ɑ-trøs--treː---tre--- 0.0123 (0.705)treː--strej---tɾeʃ--tɾes--trɛs--tʁ-wɑ-trøs--treː---tre---To ComeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.519weniːreveni--v--iɾ-beniɾ-bəni--vəniʁ-vini--viɲiː--venire 0.0782 (0.597)weniːreven--iv--iɾ-beniɾ-bəni--vəniʁ-vini--viɲiː--venire 0.0563 (0.653)weniːreveni--vi--ɾ-beniɾ-bəni--vəniʁ-vini--viɲiː--venire 0.0277 (0.681)weniːreveni--v--iɾ-beniɾ-bəni--vəniʁ-vini--viɲ-iː-venire 0.0159 (0.697)w-eniːre-veni---v--iɾ--beniɾ--bəni---vəniʁ--vini---viɲiː---venire
49 of 680.0132 (0.710)-weniːrev-eni--v---iɾ-b-eniɾ-b-əni--v-əniʁ-v-ini--v-iɲiː--v-enire 0.0106 (0.721)weniː-reven-i--v---iɾ-ben-iɾ-bən-i--vən-iʁ-vin-i--viɲ-iː--ven-ire 0.00831 (0.729)weniːreven--ivi--ɾ-beniɾ-bəni--vəniʁ-vini--viɲiː--venire 0.00769 (0.737)weniːre-veni---v--i--ɾbeni--ɾbəni---vəni--ʁvini---viɲiː---venire-To CutProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0987taliaːretə-ja--tɐ-ʎaɾ-ta-xaɾ-tə-ʎa--tɑ-je--tɛ-ji--ta-jaː--taʎʎare 0.0704 (0.169)tal-iaːretəj--a--tɐʎ--aɾ-tax--aɾ-təʎ--a--tɑj--e--tɛj--i--taj--aː--taʎʎ-are 0.0639 (0.233)ta-liaːretə-j-a--tɐ-ʎ-aɾ-ta-x-aɾ-tə-ʎ-a--tɑ-j-e--tɛ-j-i--ta-j-aː--taʎʎ-are 0.0527 (0.286)taliaːretə-ja--tɐʎ-aɾ-tax-aɾ-təʎ-a--tɑj-e--tɛj-i--taj-aː--taʎʎare 0.0504 (0.336)ta-liaːretə-ja---tɐ-ʎa-ɾ-ta-xa-ɾ-tə-ʎa---tɑ-je---tɛ-ji---ta-jaː---taʎʎa-re 0.0415 (0.378)tali-aːretəj--a--tɐʎ--aɾ-tax--aɾ-təʎ--a--tɑj--e--tɛj--i--taj--aː--taʎ-ʎare 0.0398 (0.417)tal-iaːretəj-a---tɐʎ-a-ɾ-tax-a-ɾ-təʎ-a---tɑj-e---tɛj-i---taj-aː---taʎʎa-re 0.0285 (0.446)taliaːretəj-a--tɐʎ-aɾ-tax-aɾ-təʎ-a--tɑj-e--tɛj-i--taj-aː--taʎʎare 0.0245 (0.470)taliaːretəj-a--tɐ-ʎaɾ-ta-xaɾ-tə-ʎa--tɑ-je--tɛ-ji--ta-jaː--taʎʎare
50 of 68To DrinkProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0187bibere----b--e̯a----bɨbeɾ---bebeɾ---bɛ-wɾə--bw-ɑʁ---bø--ʁ---bevi----bere-- 0.0143 (0.0331)bibere----b--e̯a----bɨbeɾ---bebeɾ---bɛ-wɾə--bw-ɑʁ---b--øʁ---bevi----bere-- 0.0111 (0.0442)bibere-b----e̯a-bɨb--eɾbeb--eɾbɛw-ɾə-b-w--ɑʁb----øʁbev--i-be--re- 0.0105 (0.0547)bibere--b----e̯a--b--ɨbeɾ-b--ebeɾ-b--ɛ-wɾəb--w-ɑʁ-b----øʁ-b--evi--b--ere-- 0.00960 (0.0643)bibere--b----e̯a--b--ɨbeɾ-b--ebeɾ-b--ɛ-wɾəb--w-ɑʁ-b--ø--ʁ-b--evi--b--ere-- 0.00846 (0.0727)bibereb----e̯abɨbeɾ-bebeɾ-bɛ-wɾəbw-ɑʁ-b--øʁ-bevi--be--re 0.00837 (0.0811)bibere---be̯a---bɨbeɾ--bebeɾ--bɛ-wɾ-əbw-ɑʁ--b--øʁ--bevi---bere--- 0.00754 (0.0886)bibere----be̯a------bɨbeɾ---bebeɾ---bɛ-wɾə--bw-ɑʁ---b--øʁ---bevi----bere-- 0.00700 (0.0956)bibere--b--e̯abɨbeɾ-bebeɾ-bɛ-wɾəbw-ɑʁ-b--øʁ-bevi--b--ereTo FallProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0626kaderekəd--e̯akɐ-iɾ-ka-eɾ-ka-wɾəʃw-aʁ-ʧ--ɛr-cad--ekadere 0.0450 (0.108)kadere-kəd--e̯a-kɐ-iɾ--ka-eɾ--ka-wɾ-əʃw-aʁ--ʧ--ɛr--cade---kadere- 0.0399 (0.147)kaderekəde̯a--kɐ-iɾ-ka-eɾ-ka-wɾəʃw-aʁ-ʧ--ɛr-cade--kadere 0.0363 (0.184)kaderekəde̯a--kɐ-iɾ-ka-eɾ-ka-wɾəʃw-aʁ-ʧ--ɛr-cad--ekadere 0.0358 (0.220)kadere-kəde̯a---kɐ-iɾ--ka-eɾ--ka-wɾ-əʃw-aʁ--ʧ--ɛr--cade---kadere- 0.0274 (0.247)kaderekəd--e̯akɐ-iɾ-ka-eɾ-ka-wɾəʃw-aʁ-ʧ--ɛr-cade--kadere 0.0241 (0.271)kaderekəd--e̯akɐ-iɾ-ka-eɾ-ka-wɾəʃw-aʁ-ʧɛ--r-cad--ekadere 0.0225 (0.294)kadere-kəde̯a---kɐ-iɾ--ka-eɾ--ka-wɾ-əʃw-aʁ--ʧɛ--r--cade---kadere- 0.0225 (0.316)kaderekəd--e̯akɐ-iɾ-ka-eɾ-ka-wɾəʃw-aʁ-ʧ--ɛr-ca--dekadere
51 of 68To FightProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0421batterebat---ebɐ-teɾ-ba-tiɾ-ba-t-ɾəba-t-ʁ-ba-t---ba-ti--battere 0.0372 (0.0793)battereba-t--ebɐt-eɾ-bat-iɾ-bat--ɾəbat--ʁ-bat----bat-i--battere 0.0361 (0.115)batterebat---ebɐt-eɾ-bat-iɾ-bat--ɾəbat--ʁ-bat----bat-i--battere 0.0292 (0.145)battereba-t--ebɐ-teɾ-ba-tiɾ-ba-t-ɾəba-t-ʁ-ba-t---ba-ti--battere 0.0268 (0.171)batterebat-e--bɐ-teɾ-ba-tiɾ-ba-t-ɾəba-t-ʁ-ba-t---ba-ti--battere 0.0231 (0.194)battereba-te--bɐ-teɾ-ba-tiɾ-ba-t-ɾəba-t-ʁ-ba-t---ba-ti--battere 0.0220 (0.216)battere-bat---e-bɐt-eɾ--bat-iɾ--bat--ɾ-əbat--ʁ--bat-----bat-i---battere- 0.0220 (0.238)batterebat-e--bɐt-eɾ-bat-iɾ-bat--ɾəbat--ʁ-bat----bat-i--battere 0.0209 (0.259)battereba-te--bɐt-eɾ-bat-iɾ-bat--ɾəbat--ʁ-bat----bat-i--battereTo FlowProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0849kurrerekurʤe--ku-ʁeɾ-ko-reɾ-ko-rə--ku-ʁiʁ-kɔ-ri--kɔ-ri--korrere 0.0788 (0.164)kurrerekurʤe--kuʁ-eɾ-kor-eɾ-kor-ə--kuʁ-iʁ-kɔr-i--kɔr-i--korrere 0.0782 (0.242)kurrerekurʤ--eku-ʁeɾ-ko-reɾ-ko-rə--ku-ʁiʁ-kɔ-ri--kɔ-ri--korrere 0.0742 (0.316)kurrerekur--ʤeku-ʁeɾ-ko-reɾ-ko-rə--ku-ʁiʁ-kɔ-ri--kɔ-ri--korrere 0.0668 (0.383)kurrereku-r-ʤekuʁ-eɾ-kor-eɾ-kor-ə--kuʁ-iʁ-kɔr-i--kɔr-i--korrere 0.0645 (0.447)kurrerekurʤ--ekuʁ-eɾ-kor-eɾ-kor-ə--kuʁ-iʁ-kɔr-i--kɔr-i--korrere 0.0575 (0.505)kurrereku-r-ʤeku-ʁeɾ-ko-reɾ-ko-rə--ku-ʁiʁ-kɔ-ri--kɔ-ri--korrere 0.0529 (0.558)kurrerekur--ʤekuʁ-eɾ-kor-eɾ-kor-ə--kuʁ-iʁ-kɔr-i--kɔr-i--korrere 0.0204 (0.578)kurrerekur-ʤ-eku-ʁeɾ-ko-reɾ-ko-rə--ku-ʁiʁ-kɔ-ri--kɔ-ri--korrere
52 of 68To HearProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.582au̯-diːreau̯-zi--o-viɾ-o--iɾ-u--i--u--iʁ-ɔj--i--uldiː--u-dire 0.0421 (0.625)au̯-diːreau̯-z--io-viɾ-o--iɾ-u--i--u--iʁ-ɔj--i--uldiː--u-dire 0.0329 (0.657)au̯--diːreau̯--zi--o-v-iɾ-o---iɾ-u---i--u---iʁ-ɔj---i--ul-diː--u--dire 0.0289 (0.686)au̯--diːreau̯--zi--ov--iɾ-o---iɾ-u---i--u---iʁ-ɔj---i--u-ldiː--u--dire 0.0194 (0.706)au̯-d-iːreau̯-z-i--o--viɾ-o---iɾ-u---i--u---iʁ-ɔj---i--uld-iː--u-d-ire 0.0177 (0.724)au̯-diːre-au̯-zi---o-vi--ɾo--i--ɾu--i---u--i--ʁɔj--i---uldiː---u-dire- 0.0157 (0.739)au̯-diːreau̯---zio-viɾ-o--iɾ-u--i--u--iʁ-ɔj--i--uldiː--u-dire 0.0125 (0.752)au̯-diːreau̯-zi--o-viɾ-o--iɾ-u--i--u--iʁ-ɔj--i--uld-iː-u-dire 0.0108 (0.762)au̯-d-iːreau̯--zi--o-v-iɾ-o---iɾ-u---i--u---iʁ-ɔj---i--uld-iː--u-d-ireTo HoldProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.218teneːreʦin--ete--ɾ-teneɾ-təni--təniʁ-tini--tiɲi--tenere 0.210 (0.428)teneːreʦin--et--eɾ-teneɾ-təni--təniʁ-tini--tiɲi--tenere 0.151 (0.579)teneːreʦine--te--ɾ-teneɾ-təni--təniʁ-tini--tiɲi--tenere 0.127 (0.706)teneːreʦine--t--eɾ-teneɾ-təni--təniʁ-tini--tiɲi--tenere 0.00457 (0.710)ten-eːreʦin---et--e-ɾ-tene-ɾ-təni---təni-ʁ-tini---tiɲi---tene-re 0.00451 (0.715)teneː-reʦin---ete--ɾ--teneɾ--təni---təniʁ--tini---tiɲi---tene-re 0.00431 (0.719)teneːre--ʦine----te----ɾ-tene--ɾ-təni----təni---ʁtini----tiɲi----tenere-- 0.00377 (0.723)ten-eːreʦin---ete---ɾ-tene-ɾ-təni---təni-ʁ-tini---tiɲi---tene-re 0.00374 (0.727)te-neːreʦi-n--ete---ɾ-te-neɾ-tə-ni--tə-niʁ-ti-ni--tiɲ-i--te-nere
53 of 68To KnowProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0266koɡnoːskereku-no̯aʃt--eku-ɲɨ-seɾ-ko-no-θeɾ-ku-nɛ-ʃə--kɔ-nɛ-t-ʁ-ki-nɔ-h---ko-ɲɔ-si--ko-noʃʃere 0.0260 (0.0526)koɡnoːskereku-no̯aʃt--eku-ɲɨs-eɾ-ko-noθ-eɾ-ku-nɛʃ-ə--kɔ-nɛt-ʁ--ki-nɔh----ko-ɲɔs-i--ko-noʃʃere 0.0249 (0.0776)koɡnoːskereku-no̯aʃte--ku-ɲɨs-eɾ-ko-noθ-eɾ-ku-nɛʃ-ə--kɔ-nɛt--ʁ-ki-nɔh----ko-ɲɔs-i--ko-noʃʃere 0.0236 (0.101)koɡnoːskereku-no̯aʃte--ku-ɲɨ-seɾ-ko-no-θeɾ-ku-nɛ-ʃə--kɔ-nɛ-t-ʁ-ki-nɔ-h---ko-ɲɔ-si--ko-noʃʃere 0.0216 (0.123)koɡnoːskereku-no̯aʃt--eku-ɲɨs-eɾ-ko-noθ-eɾ-ku-nɛʃ-ə--kɔ-nɛt--ʁ-ki-nɔh----ko-ɲɔs-i--ko-noʃʃere 0.0199 (0.143)koɡnoːskereku-no̯aʃte--ku-ɲɨs-eɾ-ko-noθ-eɾ-ku-nɛʃ-ə--kɔ-nɛt-ʁ--ki-nɔh----ko-ɲɔs-i--ko-noʃʃere 0.0158 (0.159)koɡnoːskereku-no̯aʃt--eku-ɲɨs-eɾ-ko-noθ-eɾ-ku-nɛʃ--ə-kɔ-nɛt--ʁ-ki-nɔh----ko-ɲɔs-i--ko-noʃʃere 0.0153 (0.174)koɡnoːskereku-no̯aʃte--ku-ɲɨ-seɾ-ko-no-θeɾ-ku-nɛ-ʃə--kɔ-nɛ-tʁ--ki-nɔ-h---ko-ɲɔ-si--ko-noʃʃere 0.0152 (0.189)koɡnoːskereku-no̯aʃt--eku-ɲɨ-seɾ-ko-no-θeɾ-ku-nɛ-ʃə--kɔ-nɛ-tʁ--ki-nɔ-h---ko-ɲɔ-si--ko-noʃʃereTo LaughProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0811riːdeːrerɨd--eʁ--iɾ-re-iɾ-ri-wɾəʁi--ʁ-ri--r-ridi--ridere 0.0549 (0.136)riːdeːrerɨde--ʁ--iɾ-re-iɾ-ri-wɾəʁi--ʁ-ri--r-ridi--ridere 0.0353 (0.171)riːdeːrerɨd--eʁi--ɾ-re-iɾ-ri-wɾəʁi--ʁ-ri--r-ridi--ridere 0.0329 (0.204)riːdeːre-rɨd--e-ʁ--iɾ--re-iɾ--ri-wɾ-əʁi--ʁ--ri--r--ridi---ridere- 0.0253 (0.229)r-iːdeːrer-ɨde--ʁ-i--ɾ-rei--ɾ-r-iw-ɾəʁ-i--ʁ-r-i--r-r-id--ir-idere 0.0252 (0.255)riːdeːr-erɨde---ʁ--iɾ--re-iɾ--ri-wɾə-ʁi--ʁ--ri--r--ridi---rider-e 0.0223 (0.277)r-iːdeːrer-ɨd--eʁ-i--ɾ-rei--ɾ-r-iw-ɾəʁ-i--ʁ-r-i--r-r-id--ir-idere 0.0201 (0.297)riːdeːrerɨde--ʁi--ɾ-re-iɾ-ri-wɾəʁi--ʁ-ri--r-ridi--ridere 0.0194 (0.317)riːdeːrerɨd--eʁ--iɾ-re-iɾ-ri-wɾəʁi--ʁ-ri--r-rid--iridere
54 of 68To Lie As In A BedProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0352jakeːrezəʧ--e̯aʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ---ʤir-jes--iʤaʧere 0.0257 (0.0609)jakeːrezəʧ--e̯aʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ---ʤir-jesi--ʤaʧere 0.0246 (0.0855)jak-eːrezəʧ---e̯aʒɐz-eɾ-ʝaθ-eɾ-ʒawɾə--ʒez-iʁ---ʤ-ir-jes-i--ʤaʧ-ere 0.0224 (0.108)jakeːrezəʧe̯a--ʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ---ʤir-jes--iʤaʧere 0.0219 (0.130)jakeːrezəʧe̯a--ʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ-ʤ--ir-jes--iʤaʧere 0.0214 (0.151)jakeːrezəʧe̯a--ʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ-ʤ--ir-jesi--ʤaʧere 0.0194 (0.171)jakeːrezəʧe̯a--ʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ---ʤir-jesi--ʤaʧere 0.0159 (0.186)jakeːrezəʧ--e̯aʒɐzeɾ-ʝaθeɾ-ʒaw-ɾəʒeziʁ-ʤ--ir-jes--iʤaʧere 0.0146 (0.201)jakeːrezəʧe̯a--ʒɐzeɾ-ʝaθeɾ-ʒa-wɾəʒeziʁ---ʤir-jes--iʤaʧereTo PlayProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.459jokaːreʒuka--ʒuɡaɾ-xuɡaɾ-ʒuɡa--ʒ-we--ʤuwe--ʤujaː--ʤokare 0.0638 (0.523)jokaːreʒuk--aʒuɡaɾ-xuɡaɾ-ʒuɡa--ʒ-we--ʤuwe--ʤujaː--ʤokare 0.0395 (0.562)jokaːreʒuka--ʒuɡaɾ-xuɡaɾ-ʒuɡa--ʒ-we--ʤuwe--ʤu-jaː-ʤokare 0.0172 (0.579)jokaːreʒuka--ʒuɡaɾ-xuɡaɾ-ʒuɡa--ʒ-we--ʤuwe--ʤuj-aː-ʤokare 0.0157 (0.595)jokaːre-ʒuka---ʒuɡa--ɾxuɡa--ɾʒuɡa---ʒ-we---ʤuwe---ʤujaː---ʤokare- 0.0145 (0.610)jokaːreʒuka--ʒuɡaɾ-xuɡaɾ-ʒuɡa--ʒ-we--ʤuwe--ʤu--jaːʤokare 0.0127 (0.622)jok-aːreʒuk-a--ʒu-ɡaɾ-xu-ɡaɾ-ʒu-ɡa--ʒ--we--ʤu-we--ʤu-jaː--ʤok-are 0.0121 (0.635)jokaːreʒuka--ʒuɡaɾ-xuɡaɾ-ʒuɡa--ʒw-e--ʤuwe--ʤujaː--ʤokare 0.0116 (0.646)jo-kaːreʒu-ka--ʒuɡ-aɾ-xuɡ-aɾ-ʒuɡ-a--ʒ-w-e--ʤuw-e--ʤuj-aː--ʤo-kare
55 of 68To SayProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0393diːkere-zi--ʧe-di--zeɾde--θiɾdi-----di----ʁdi----rd----iː-di--re- 0.0368 (0.0761)diːkereziʧe--dizeɾ-deθiɾ-di----di--ʁ-di--r-d--iː--dire-- 0.0328 (0.109)diːkereziʧe--dizeɾ-deθiɾ-di----di--ʁ-di--r-diː----dire-- 0.0264 (0.135)diːkere-z--iʧe-d--izeɾd--eθiɾd--i---d--i--ʁd--i--rd----iː-d--ire- 0.0239 (0.159)diːkere-ziʧe---dize--ɾdeθi--ɾdi-----di----ʁdi----rd--iː---dire--- 0.0227 (0.182)diːkere-zi--ʧe-di--zeɾde--θiɾdi-----di----ʁdi----rdiː-----di--re- 0.0221 (0.204)diːkere-zi--ʧe-di--zeɾde--θiɾdi-----di--ʁ--di--r--diː-----di--re- 0.0217 (0.226)diːkere-zi--ʧe-di--zeɾde--θiɾdi-----di--ʁ--di--r--d----iː-di--re- 0.0197 (0.245)diːkere-zi--ʧe-di--zeɾde--θiɾd----i-d----iʁd----irdiː-----di--re-To SeeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0373wideːreved--e̯ave--ɾ-be--ɾ-bɛ-wɾəvw-aʁ-v--ɛj--vj-odivedere 0.0339 (0.0712)wideːreved--e̯av--eɾ-b--eɾ-bɛ-wɾəvw-aʁ-v--ɛj--vj-odivedere 0.0295 (0.101)wideːrevede̯a--ve--ɾ-be--ɾ-bɛ-wɾəvw-aʁ-v--ɛj--vj-odivedere 0.0292 (0.130)w-ideːre-v-ed--e̯a-v-e--ɾ--b-e--ɾ--b-ɛw-ɾə-v--w--aʁv-----ɛj-vjod--i-v-edere- 0.0254 (0.155)wideːreved--e̯ave--ɾ-be--ɾ-bɛ-wɾəvw-aʁ-vɛj----vj-odivedere 0.0223 (0.178)wideːrevede̯a--v--eɾ-b--eɾ-bɛ-wɾəvw-aʁ-v--ɛj--vj-odivedere 0.0157 (0.193)wideːreved--e̯av--eɾ-b--eɾ-bɛ-wɾəvw-aʁ-vɛj----vj-odivedere 0.0146 (0.208)wideːr-eved---e̯av--eɾ--b--eɾ--bɛ-wɾ-əvw-aʁ--v--ɛj---vj-o-diveder-e 0.0144 (0.222)wideːrevede̯a--ve--ɾ-be--ɾ-bɛ-wɾəvw-aʁ-vɛj----vj-odivedere
56 of 68To SewProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.151koːnsuereko̯a-s---eku-z-eɾ-ko-s-eɾ-ku-z-i--ku-d--ʁ-kø-z----ku-z-i--ku-ʧ-ire 0.105 (0.256)koːnsuereko̯a-s---eku-ze-ɾ-ko-se-ɾ-ku-zi---ku-d--ʁ-kø-z----ku-zi---ku-ʧi-re 0.0728 (0.329)koːnsuereko̯a-s---eku-z-eɾ-ko-s-eɾ-ku-z-i--ku-d-ʁ--kø-z----ku-z-i--ku-ʧ-ire 0.0564 (0.385)koːnsuereko̯a-s---eku-ze-ɾ-ko-se-ɾ-ku-zi---ku-dʁ---kø-z----ku-zi---ku-ʧi-re 0.0394 (0.425)koːnsuereko̯a-s-e--ku-z-eɾ-ko-s-eɾ-ku-z-i--ku-d--ʁ-kø-z----ku-z-i--ku-ʧ-ire 0.0288 (0.453)koːns-uereko̯a-s----eku-z--eɾ-ko-s--eɾ-ku-z--i--ku-dʁ----kø-z-----ku-z--i--ku-ʧ--ire 0.0252 (0.479)koːnsuereko̯a-s-e--ku-z-eɾ-ko-s-eɾ-ku-z-i--ku-d-ʁ--kø-z----ku-z-i--ku-ʧ-ire 0.0217 (0.500)koːnsuereko̯a-s---eku-z-eɾ-ko-s-eɾ-ku-z--i-ku-d--ʁ-kø-z----ku-z-i--ku-ʧ-ire 0.0191 (0.519)koːnsu-ereko̯a-s----eku-z--eɾ-ko-s--eɾ-ku-z--i--ku-d-ʁ---kø-z-----ku-z--i--ku-ʧ--ireTo SingProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.464kantaːrekɨnta--k-ɐ̃taɾ-kantaɾ-kənta--ʃ-ɑ̃te--ʧ-ɑ̃te--cantaː--kantare 0.0719 (0.536)kantaːrekɨnt--ak-ɐ̃taɾ-kantaɾ-kənta--ʃ-ɑ̃te--ʧ-ɑ̃te--cantaː--kantare 0.0457 (0.581)kantaːrekɨnta--kɐ̃-taɾ-kantaɾ-kənta--ʃ-ɑ̃te--ʧ-ɑ̃te--cantaː--kantare 0.0399 (0.621)kantaːrekɨnta--k-ɐ̃taɾ-kantaɾ-kənta--ʃɑ̃-te--ʧɑ̃-te--cantaː--kantare 0.0394 (0.661)kantaːrekɨnta--k-ɐ̃taɾ-kantaɾ-kənta---ʃɑ̃te---ʧɑ̃te--cantaː--kantare 0.0204 (0.681)kantaːrekɨnta--k-ɐ̃taɾ-kantaɾ-kənta--ʃ-ɑ̃te--ʧ-ɑ̃te--cant-aː-kantare 0.0152 (0.696)kantaːre-kɨnta---k-ɐ̃ta--ɾkanta--ɾkənta---ʃ-ɑ̃te---ʧ-ɑ̃te---cantaː---kantare- 0.0108 (0.707)kantaːr-ekɨnta---k-ɐ̃ta-ɾ-kanta-ɾ-kənta---ʃ-ɑ̃te---ʧ-ɑ̃te---cantaː---kantar-e
57 of 680.00854 (0.715)kant-aːrekɨnta---k-ɐ̃ta-ɾ-kanta-ɾ-kənta---ʃ-ɑ̃te---ʧ-ɑ̃te---cantaː---kanta-reTo SleepProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.543d-ormiːred-ormi--d-uɾmiɾ-d-oɾmiɾ-d-uɾmi--d-ɔʁmiʁ-dwɛʁmi--d-urmiː--d-ormire 0.0676 (0.611)d-ormiːred-orm--id-uɾmiɾ-d-oɾmiɾ-d-uɾmi--d-ɔʁmiʁ-dwɛʁmi--d-urmiː--d-ormire 0.0283 (0.639)do-rmiːredo-rmi--du-ɾmiɾ-do-ɾmiɾ-du-ɾmi--dɔ-ʁmiʁ-dwɛʁmi--du-rmiː--do-rmire 0.0224 (0.661)d-ormiːred-ormi--d-uɾmiɾ-d-oɾmiɾ-d-uɾmi--d-ɔʁmiʁ-dwɛʁmi--d-urm-iː-d-ormire 0.0185 (0.680)d-ormiːred-ormi--d-uɾmiɾ-d-oɾmiɾ-d-uɾmi--dɔ-ʁmiʁ-dwɛʁmi--d-urmiː--d-ormire 0.0117 (0.692)d-ormiːre-d-ormi---d-uɾmiɾ--d-oɾmiɾ--d-uɾmi---d-ɔʁmiʁ--dwɛʁmi---d-urmiː---d-ormir-e 0.0116 (0.703)do-rmiːredo-rmi--du-ɾmiɾ-do-ɾmiɾ-du-ɾmi--d-ɔʁmiʁ-dwɛʁmi--du-rmiː--do-rmire 0.00969 (0.713)d-ormiːre-d-ormi---d-uɾmi--ɾd-oɾmi--ɾd-uɾmi---d-ɔʁmi--ʁdwɛʁmi---d-urmiː---d-ormire- 0.00843 (0.721)d-ormiːr-ed-ormi---d-uɾmiɾ--d-oɾmiɾ--d-uɾmi---d-ɔʁmiʁ--dwɛʁmi---d-urmiː---d-ormire-
58 of 68To SmellProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.528sentiːresimʦi--s-ẽtiɾ-sentiɾ-sənti--s-ɑ̃tiʁ-s-ɛ̃ti--sintiː--sentire 0.0522 (0.581)sentiːresimʦ--is-ẽtiɾ-sentiɾ-sənti--s-ɑ̃tiʁ-s-ɛ̃ti--sintiː--sentire 0.0511 (0.632)sentiːresimʦi--s-ẽtiɾ-sentiɾ-sənti--sɑ̃-tiʁ-sɛ̃-ti--sintiː--sentire 0.0507 (0.682)sentiːresimʦi--sẽ-tiɾ-sentiɾ-sənti--s-ɑ̃tiʁ-s-ɛ̃ti--sintiː--sentire 0.0262 (0.709)sentiːresimʦi--s-ẽtiɾ-sentiɾ-sənti--s-ɑ̃tiʁ-s-ɛ̃ti--sint-iː-sentire 0.0130 (0.722)sentiːre-simʦi---s-ẽtiɾ--sentiɾ--sənti---s-ɑ̃tiʁ--s-ɛ̃ti---sintiː---sentir-e 0.00851 (0.730)sentiː-resimʦ-i--s-ẽt-iɾ-sent-iɾ-sənt-i--s-ɑ̃t-iʁ-s-ɛ̃t-i--sint-iː--sent-ire 0.00843 (0.739)sent-iːresim-ʦi--s-ẽt-iɾ-sent-iɾ-sənt-i--s-ɑ̃t-iʁ-s-ɛ̃t-i--sint-iː--sent-ire 0.00734 (0.746)s-entiːresi-mʦi--s--ẽtiɾ-se-ntiɾ-sə-nti--s--ɑ̃tiʁ-s--ɛ̃ti--si-ntiː--se-ntireTo SqueezeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0233-strinɡere-strɨnʤ--eɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲ-ə---etʁɛ̃--dʁ--strɛ̃n-d---strɛnʤiː---strinʤere 0.0188 (0.0420)-strinɡere-strɨnʤ--eɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲə----etʁɛ̃-d-ʁ--strɛ̃nd----strɛnʤiː---strinʤere 0.0151 (0.0571)-strinɡere-strɨnʤ--eɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲ-ə---etʁɛ̃-d-ʁ--strɛ̃nd----strɛnʤiː---strinʤere 0.0144 (0.0715)-strinɡere-strɨnʤ--eɨʃtrĩʒ-iɾ-estɾeɲ-iɾ-əstɾɛɲ-ə---etʁɛ̃--dʁ--strɛ̃n-d---strɛnʤiː---strinʤere 0.0143 (0.0857)-strinɡere-strɨnʤe--ɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲ-ə---etʁɛ̃-d-ʁ--strɛ̃nd----strɛnʤiː---strinʤere 0.0124 (0.0981)-strinɡere-strɨnʤ--eɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲ-ə--e-tʁɛ̃--dʁ--strɛ̃n-d---strɛnʤiː---strinʤere
59 of 680.0110 (0.109)-strinɡere-strɨnʤe--ɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲə----etʁɛ̃-d-ʁ--strɛ̃nd----strɛnʤiː---strinʤere 0.00926 (0.118)-strinɡere-strɨnʤe--ɨʃtr-ĩʒiɾ-estɾeɲ-iɾ-əstɾɛɲ-ə---etʁɛ̃--dʁ--strɛ̃n-d---strɛnʤiː---strinʤere 0.00914 (0.128)-strinɡ-ere-strɨnʤ---eɨʃtr-ĩʒ-iɾ-estɾeɲ--iɾ-əstɾɛɲ--ə---etʁɛ̃-dʁ----strɛ̃nd-----strɛnʤ-iː---strinʤ-ereTo StandProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.501levaːrelu-a--lɨvaɾ-ʝebaɾ-ʎəba--ləve--lɛve--levaː--levare 0.0705 (0.572)levaːrel--u-alɨvaɾ-ʝebaɾ-ʎəba--ləve--lɛve--levaː--levare 0.0581 (0.630)levaːrelu---alɨvaɾ-ʝebaɾ-ʎəba--ləve--lɛve--levaː--levare 0.0240 (0.654)levaːrelu-a--lɨvaɾ-ʝebaɾ-ʎəba--ləve--lɛve--lev-aː-levare 0.0189 (0.673)levaːre-lu-a---lɨva--ɾʝeba--ɾʎəba---ləve---lɛve---levaː---levare- 0.0176 (0.690)levaːrel-ua--lɨvaɾ-ʝebaɾ-ʎəba--ləve--lɛve--levaː--levare 0.0143 (0.705)l-evaːrel-u-a--l-ɨvaɾ--ʝebaɾ-ʎ-əba--l-əve--l-ɛve--l-evaː--l-evare 0.0133 (0.718)levaː-relu-a---lɨvaɾ--ʝebaɾ--ʎəba---ləve---lɛve---levaː---leva-re 0.0131 (0.731)levaːr-elu-a---lɨva-ɾ-ʝeba-ɾ-ʎəba---ləve---lɛve---levaː---levar-eTo SwellProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.0133kr-eːskerekr-eʃt--ekɾ-ɨʃseɾ-kɾ-eθ-eɾ-kɾ-eʃ-ə--kʁwat-ʁ--kr-ɛh----kr-ɛ-si--kr-eʃʃere 0.0116 (0.0249)kr-eːskerekr-eʃt--ekɾ-ɨʃseɾ-kɾ-e-θeɾ-kɾ-eʃ-ə--kʁwat--ʁ-kr-ɛh----kr-ɛ-si--kr-eʃʃere 0.00911 (0.0340)kreːske-rekreʃt---ekɾɨʃse-ɾ-kɾeθ-e-ɾ-kɾeʃ-ə---kʁw--atʁ-kr---ɛ-h-krɛ-si---kreʃʃe-re
60 of 680.00891 (0.0429)kr-eːskerekr-eʃt--ekɾ-ɨʃseɾ-kɾ-eθ-eɾ-kɾ-eʃ--ə-kʁwat--ʁ-kr-ɛh----kr-ɛ-si--kr-eʃʃere 0.00880 (0.0517)kr-eːskerekr-eʃte--kɾ-ɨʃseɾ-kɾ-eθ-eɾ-kɾ-eʃ-ə--kʁwat--ʁ-kr-ɛh----kr-ɛ-si--kr-eʃʃere 0.00834 (0.0601)kr-eːskerekr-eʃt--ekɾ-ɨʃseɾ-kɾ-eθ-eɾ-kɾ-eʃ-ə--kʁwat--ʁ-kr-ɛh----kr-ɛ-si--kr-eʃʃere 0.00763 (0.0677)kreːs-ker-e-kreʃ-te----kɾɨʃ-s---eɾkɾe--θ---eɾkɾe--ʃ---ə-kʁw-at--ʁ--krɛ--h-----krɛ--s---i-kreʃ-ʃer-e- 0.00634 (0.0741)kreːske-rekreʃt---ekɾɨʃse-ɾ-kɾe-θe-ɾ-kɾeʃ-ə---kʁw--atʁ-kr---ɛh--krɛ-si---kreʃʃe-re 0.00609 (0.0801)kr-eːskere-kr-eʃte---kɾ-ɨʃs--eɾkɾ-eθ---eɾkɾ-eʃ---ə-kʁwat---ʁ-kr-ɛh-----kr-ɛ-s--i-kr-eʃʃere-To SwellProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.272inflaːreumfla---ĩʃ-aɾ-inʧ-aɾ-imfla---ɑ̃fle---ẽfle--enflaː--enfiare 0.0825 (0.355)inf-laːreumf-la---ĩʃ--aɾ-inʧ--aɾ-imf-la---ɑ̃f-le---ẽf-le--enf-laː--enfi-are 0.0641 (0.419)infl-aːreumfl-a---ĩʃ--aɾ-inʧ--aɾ-imfl-a---ɑ̃fl-e---ẽfl-e--enfl-aː--enf-iare 0.0435 (0.462)inflaːreumfl--a-ĩʃ-aɾ-inʧ-aɾ-imfla---ɑ̃fle---ẽfle--enflaː--enfiare 0.0268 (0.489)infl-aːreumf---la-ĩʃ--aɾ-inʧ--aɾ-imf---la-ɑ̃f---le-ẽf---leenf---laːenf-iare 0.0226 (0.512)inf-laːreumf---la-ĩʃ--aɾ-inʧ--aɾ-imf---la-ɑ̃f---le-ẽf---leenf---laːenfi-are 0.0217 (0.533)inflaːreumfla--ĩ-ʃ-aɾ-inʧ-aɾ-imfla---ɑ̃fle---ẽfle--enflaː--enfiare 0.0190 (0.552)inflaːreumfla---ĩʃ-aɾ-inʧ-aɾ-imfla--ɑ̃-fle--ẽ-fle--enflaː--enfiare 0.0171 (0.570)inflaːreumfla---ĩ-ʃaɾ-in-ʧaɾ-imfla---ɑ̃fle---ẽfle--enflaː--enfiare
61 of 68To ThinkProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.512pensaːrepə-sa--p-ẽsaɾ-pensaɾ-pənsa--p-ɑ̃se--p-ɛ̃se--pensaː--pensare 0.0856 (0.597)pensaːrepə-s--ap-ẽsaɾ-pensaɾ-pənsa--p-ɑ̃se--p-ɛ̃se--pensaː--pensare 0.0503 (0.648)pensaːrepə-sa--pẽ-saɾ-pensaɾ-pənsa--p-ɑ̃se--p-ɛ̃se--pensaː--pensare 0.0365 (0.684)pensaːrepə-sa--p-ẽsaɾ-pensaɾ-pənsa--pɑ̃-se--pɛ̃-se--pensaː--pensare 0.0282 (0.712)pensaːrepə-sa--p-ẽsaɾ-pensaɾ-pənsa--p-ɑ̃se--p-ɛ̃se--pens-aː-pensare 0.0137 (0.726)pensaːre-pə-sa---p-ẽsa--ɾpensa--ɾpənsa---p-ɑ̃se---p-ɛ̃se---pensaː---pensare- 0.0115 (0.738)pensaːr-epə-sa---p-ẽsa-ɾ-pensa-ɾ-pənsa---p-ɑ̃se---p-ɛ̃se---pensaː---pensar-e 0.00940 (0.747)pensaː-repə-s-a--p-ẽs-aɾ-pens-aɾ-pəns-a--p-ɑ̃s-e--p-ɛ̃s-e--pens-aː--pens-are 0.00934 (0.756)pensaːrep-əsa--p-ẽsaɾ-pensaɾ-pənsa--p-ɑ̃se--p-ɛ̃se--pensaː--pensareTo Turn IntransitiveProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.579tornaːreturna--tuɾnaɾ-toɾnaɾ-turna--tuʁne--turne--tornaː--tornare 0.115 (0.693)tornaːreturn--atuɾnaɾ-toɾnaɾ-turna--tuʁne--turne--tornaː--tornare 0.0397 (0.733)tornaːreturna--tuɾnaɾ-toɾnaɾ-turna--tuʁne--turne--torn-aː-tornare 0.0158 (0.749)tornaːre-turna---tuɾna--ɾtoɾna--ɾturna---tuʁne---turne---tornaː---tornare- 0.0119 (0.760)tornaːr-eturna---tuɾna-ɾ-toɾna-ɾ-turna---tuʁne---turne---tornaː---tornar-e 0.0118 (0.772)torn-aːreturna---tuɾna-ɾ-toɾna-ɾ-turna---tuʁne---turne---tornaː---torna-re 0.0110 (0.783)tornaːre-turna---tuɾnaɾ--toɾnaɾ--turna---tuʁne---turne---tornaː---tornar-e 0.0101 (0.793)tornaː-return-a--tuɾn-aɾ-toɾn-aɾ-turn-a--tuʁn-e--turn-e--torn-aː--torn-are
62 of 680.00929 (0.803)tornaː-returna---tuɾnaɾ--toɾnaɾ--turna---tuʁne---turne---tornaː---torna-reTo WashProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.313lawaːrela----lɐvaɾ-labaɾ-ʎəba--lave--lave--lavaː--lavare 0.281 (0.594)lawaːrel--a--lɐvaɾ-labaɾ-ʎəba--lave--lave--lavaː--lavare 0.0511 (0.645)lawaːrel----alɐvaɾ-labaɾ-ʎəba--lave--lave--lavaː--lavare 0.0162 (0.661)law-aːrela-----lɐ-vaɾ-la-baɾ-ʎə-ba--la-ve--la-ve--la-vaː--la-vare 0.0137 (0.675)lawaːrela----lɐvaɾ-labaɾ-ʎəba--lave--lave--lav-aː-lavare 0.0117 (0.686)la-waːrel---a--lɐv-aɾ-lab-aɾ-ʎəb-a--lav-e--lav-e--lav-aː--lav-are 0.0114 (0.698)la-waːrela-----lɐv-aɾ-lab-aɾ-ʎəb-a--lav-e--lav-e--lav-aː--lav-are 0.0102 (0.708)lawaːrel--a--lɐvaɾ-labaɾ-ʎəba--lave--lave--lav-aː-lavare 0.00837 (0.716)lawaːre-l--a---lɐva--ɾlaba--ɾʎəba---lave---lave---lavaː---lavare-TongueProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.208linɡʷ-amlimb-ə-l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡ-e-linɡwa- 0.0653 (0.274)linɡʷ-amlimb-ə-l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡe--linɡwa- 0.0460 (0.320)linɡʷ-amlimbə--l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡ-e-linɡwa- 0.0373 (0.357)linɡʷ-amlim-bə-l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡ-e-linɡwa-
63 of 680.0355 (0.393)lin-ɡʷamlimb-ə-l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡ-e-linɡwa- 0.0317 (0.424)lin-ɡʷamlim-bə-l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡ-e-linɡwa- 0.0190 (0.443)linɡʷamlimb-əl-ĩɡwɐlenɡwaʎɛnɡwəl-ɑ̃ɡ--l-ɛ̃v--lɛnɡ-elinɡwa 0.0128 (0.456)linɡʷ-amlimb-ə-l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-lɑ̃-ɡ---lɛ̃-v---lɛnɡ-e-linɡwa- 0.0125 (0.469)linɡʷ-amlimbə--l-ĩɡwɐ-lenɡwa-ʎɛnɡwə-l-ɑ̃ɡ---l-ɛ̃v---lɛnɡe--linɡwa-ToothProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.709d-entemd-inte-d--ẽtɨ-djente-d-en---d--ɑ̃---d--ɛ̃---d-int--d-ɛnte- 0.0448 (0.754)d-entemd-inte-d--ẽtɨ-djente-d-en---d-ɑ̃----d-ɛ̃----d-int--d-ɛnte- 0.0437 (0.798)d-entemd-inte-d-ẽ-tɨ-djente-d-en---d--ɑ̃---d--ɛ̃---d-int--d-ɛnte- 0.0124 (0.810)d-ente-md-inte--d--ẽt-ɨ-djente--d-en----d--ɑ̃----d--ɛ̃----d-int---d-ɛnte-- 0.00894 (0.819)d-e-ntemd--inte-d---ẽtɨ-dj-ente-d--en---d---ɑ̃---d---ɛ̃---d--int--d--ɛnte- 0.00889 (0.828)d-entemd-inte-d--ẽtɨ-djente-d-e--n-d----ɑ̃-d----ɛ̃-d-int--d-ɛnte- 0.00660 (0.835)d-e-ntemd--inte-d---ẽtɨ-dje-nte-d-e-n---d---ɑ̃---d---ɛ̃---d-i-nt--d-ɛ-nte- 0.00500 (0.840)d--entemd-i-nte-d---ẽtɨ-dje-nte-d-e-n---d---ɑ̃---d---ɛ̃---d-i-nt--d-ɛ-nte- 0.00491 (0.845)d-entemd-inte-dẽ--tɨ-djente-d-en---d--ɑ̃---d--ɛ̃---d-int--d-ɛnte-
64 of 68TreeProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.575arboremarbore-aɾvuɾɨ-aɾbol--a-b-ɾə-aʁb-ʁ--ɔ-p----arbul--albero- 0.0457 (0.621)arboremarbore-aɾvuɾɨ-aɾbol--a-b-ɾə-aʁb-ʁ--ɔ---p--arbul--albero- 0.0281 (0.649)arboremarbore-aɾvuɾɨ-aɾbol--a-b-ɾə-aʁb-ʁ--ɔp-----arbul--albero- 0.0118 (0.661)arboremarbore-aɾvuɾɨ-aɾbol--a-b-ɾə-aʁb-ʁ---ɔp----arbul--albero- 0.0108 (0.672)arborem-arbor--eaɾvuɾ--ɨaɾbol---a-b-ɾ--əaʁb-ʁ---ɔ-p-----arbul---alber--o 0.0104 (0.682)arbor-emarbore--aɾvuɾɨ--aɾbol---a-b-ɾə--aʁb-ʁ---ɔ-p-----arbul---albero-- 0.00971 (0.692)arbore-marbor-e-aɾvuɾ-ɨ-aɾbol---a-b-ɾ-ə-aʁb-ʁ---ɔ-p-----arbul---alber-o- 0.00906 (0.701)arboremarbor-eaɾvuɾ-ɨaɾbol--a-b-ɾ-əaʁb-ʁ--ɔ-p----arbul--alber-o 0.00794 (0.709)arbo-remarbo-re-aɾvu-ɾɨ-aɾbo-l--a-b--ɾə-aʁb--ʁ--ɔ---p---arbu-l--albe-ro-WarmProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.655kalidumkal-d--kal-du-kal-do-kal----ʃo-----ʧo-----cal-t--kal-do- 0.0349 (0.690)kalidumkal-d--kal-du-kal-do-kal----ʃo-----ʧo-----cal--t-kal-do- 0.0228 (0.712)kalidumkal-d--kal-du-kal-do-kal----ʃ----o-ʧ----o-cal-t--kal-do- 0.0184 (0.731)kalidu-mkal-d---kal-du--kal-do--kal-----ʃo------ʧo------cal---t-kal-do-- 0.0169 (0.748)kalidu-mkal-d---kal-d-u-kal-d-o-kal-----ʃo------ʧo------cal-t---kal-d-o- 0.0161 (0.764)kalid-umkal-d---kal-d-u-kal-d-o-kal-----ʃo------ʧo------cal--t--kal-d-o- 0.0139 (0.778)kalidum-kal-d---kal-d--ukal-d--okal-----ʃo------ʧo------cal-t---kal-d--o 0.0135 (0.791)kali-dumkal--d--kal--du-kal--do-kal-----ʃo------ʧo------cal-t---kal--do-
65 of 680.0113 (0.802)kalidum-kal-d---kal-du--kal-do--kal-----ʃo------ʧo------cal----tkal-do--WaterProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.119a-kʷ-ama-p-ə-a-ɡwɐ-a-ɡwa-aj-ɡwə-o-----ɛ--w--a-ɡ-e-akkwa- 0.0755 (0.194)akʷ--amap--ə-aɡ-wɐ-aɡ-wa-ajɡ-wə-o-----ɛ--w--aɡ--e-akkwa- 0.0297 (0.224)a-kʷ-ama-p-ə-a-ɡwɐ-a-ɡwa-aj-ɡwə-o-----ɛ--w--a-ɡe--akkwa- 0.0254 (0.250)a--kʷama--pə-aɡ-wɐ-aɡ-wa-ajɡ-wə-o-----ɛ--w--aɡ--e-akkwa- 0.0227 (0.272)a-kʷ-ama--pə-a-ɡwɐ-a-ɡwa-aj-ɡwə-o-----ɛ--w--a-ɡ-e-akkwa- 0.0216 (0.294)akʷ--amap--ə-aɡ-wɐ-aɡ-wa-ajɡ-wə-o-----ɛ--w--aɡ-e--akkwa- 0.0215 (0.315)a-kʷ-ama-p-ə-a-ɡwɐ-a-ɡwa-aj-ɡwə----o--ɛ--w--a-ɡ-e-akkwa- 0.0212 (0.337)a--kʷama--pə-a-ɡwɐ-a-ɡwa-aj-ɡwə-o-----ɛ--w--a-ɡ-e-akkwa- 0.0209 (0.358)a--kʷama-p-ə-a-ɡwɐ-a-ɡwa-aj-ɡwə-o-----ɛ--w--a-ɡ-e-akkwa-WhatProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.639kʷ-idʧ-e-k-ɨ-k-e-k-ɛ-kwa-kwɛ-ʧ-e-k-e- 0.0223 (0.661)-kʷ-idʧ--e-k--ɨ-k--e-k--ɛ-k-wa-k-wɛ-ʧ--e-k--e- 0.0196 (0.681)kʷ--id-ʧ-e--k-ɨ--k-e--k-ɛ--kwa--kwɛ--ʧ-e--k-e- 0.0185 (0.699)kʷid-ʧe--kɨ--ke--kɛ--kw-akw-ɛʧe--ke-- 0.0170 (0.716)kʷ-id-ʧ---ek---ɨk---ek---ɛkw--akw--ɛʧ---ek---e 0.0165 (0.733)kʷid--ʧ---ek---ɨk---ek---ɛk--wak--wɛʧ---ek---e
66 of 680.0141 (0.747)kʷi-d-ʧ---ek---ɨk---ek---ɛk-w-ak-w-ɛʧ---ek---e 0.0132 (0.760)kʷi--dʧ--e-k--ɨ-k--e-k--ɛ-k-wa-k-wɛ-ʧ--e-k--e- 0.0131 (0.773)kʷi-dʧe--kɨ--ke--kɛ--kwa-kwɛ-ʧe--ke--WhenProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.390kʷ-andoːk-ɨnd-kw-ɐ̃dukwandokwan--k--ɑ̃--kwand-kwand-kwando 0.103 (0.493)-kʷandoːk-ɨnd-kw-ɐ̃dukwandokwan--k--ɑ̃--kwand-kwand-kwando 0.0783 (0.571)kʷ-andoːkɨ-nd-kw-ɐ̃dukwandokwan--k--ɑ̃--kwand-kwand-kwando 0.0308 (0.602)kʷ-andoːk-ɨnd-kwɐ̃-dukwandokwan--k--ɑ̃--kwand-kwand-kwando 0.0271 (0.629)-kʷandoːkɨ-nd-kw-ɐ̃dukwandokwan--k--ɑ̃--kwand-kwand-kwando 0.0186 (0.648)kʷ-andoːk-ɨnd-kw-ɐ̃dukwandokwan--k-ɑ̃---kwand-kwand-kwando 0.0144 (0.662)-kʷ-andoːk--ɨnd-k-w-ɐ̃duk-wandok-wan--k---ɑ̃--k-wand-k-wand-k-wando 0.0139 (0.676)kʷ-andoːk-ɨnd-kw-ɐ̃dukwandokwan--kɑ̃----kwand-kwand-kwando 0.0139 (0.690)kʷ--andoː-k-ɨnd--kw-ɐ̃du-kwando-kwan---k--ɑ̃---kwand--kwand--kwandoWindProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.457-wentum-vɨnt---v-ẽtu-bjento--ben----v-ɑ̃----v-ɛ̃----vint---vɛnto- 0.0773 (0.534)w-entumv-ɨnt--v--ẽtu-bjento-b-en---v--ɑ̃---v--ɛ̃---v-int--v-ɛnto- 0.0415 (0.575)-wentum-vɨnt---vẽ-tu-bjento--ben----v-ɑ̃----v-ɛ̃----vint---vɛnto- 0.0299 (0.605)-wentum-vɨnt---v-ẽtu-bjento--ben----vɑ̃-----vɛ̃-----vint---vɛnto-
67 of 680.0147 (0.620)-went-um-vɨnt----v-ẽtu--bjento---ben-----v-ɑ̃-----v-ɛ̃-----vint----vɛnto-- 0.0139 (0.634)-wentum-vɨnt---v-ẽtu-bjento-be-n----v-ɑ̃----v-ɛ̃----vint---vɛnto- 0.0126 (0.646)-wentum--vɨnt----v-ẽt--ubjent--o-ben-----v-ɑ̃-----v-ɛ̃-----vint----vɛnt--o 0.0106 (0.657)-wentu-m-vɨnt----v-ẽt-u-bjent-o--ben-----v-ɑ̃-----v-ɛ̃-----vint----vɛnt-o- 0.0103 (0.667)-wentum-vɨnt---v-ẽtu-bjento-b-en----v-ɑ̃----v-ɛ̃----vint---vɛnto-WomanProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.410dominamdo̯am-nə-do--nɐ-do--ɲa-dɔ--nə-da--m--da--m--dɔ--ne-dɔn-na- 0.305 (0.714)dominamdo̯am-nə-don--ɐ-doɲ--a-dɔn--ə-dam----dam----dɔn--e-dɔn-na- 0.00980 (0.724)dominamdo̯am-nə-do--nɐ-do--ɲa-dɔ--nə-da---m-da---m-dɔ--ne-dɔn-na- 0.00677 (0.731)do-minamdo̯a-m-nə-do---nɐ-do---ɲa-dɔ---nə-da---m--da---m--dɔ---ne-dɔn--na- 0.00669 (0.738)dom-inamdo̯am--nə-do---nɐ-do---ɲa-dɔ---nə-da---m--da---m--dɔ---ne-dɔ-n-na- 0.00643 (0.744)dominam-do̯am-nə--do--nɐ--do--ɲa--dɔ--n--əda--m---da--m---dɔ--ne--dɔn-na-- 0.00640 (0.751)dominamdo̯a-mnə-do--nɐ-do--ɲa-dɔ--nə-da--m--da--m--dɔ--ne-dɔ-nna- 0.00609 (0.757)do-minamd-o̯am-nə-d-o--nɐ-d-o--ɲa-d-ɔ--nə-d-a--m--d-a--m--d-ɔ--ne-d-ɔn-na- 0.00537 (0.762)domina-mdo̯am-n-ə-don---ɐ-doɲ---a-dɔn---ə-dam-----dam-----dɔn---e-dɔn-n-a-
68 of 68YearProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.243annuman---ɐ-nu-a-ɲo-a-ɲ----ɑ̃----ɑ̃--a-n--anno- 0.241 (0.484)annuma-n--ɐn-u-aɲ-o-aɲ----ɑ̃----ɑ̃---an---anno- 0.148 (0.632)annuma-n--ɐ-nu-a-ɲo-a-ɲ----ɑ̃----ɑ̃--a-n--anno- 0.137 (0.769)annuman---ɐn-u-aɲ-o-aɲ----ɑ̃----ɑ̃---an---anno- 0.0169 (0.786)annuma-n--ɐn-u-aɲ-o-aɲ---ɑ̃----ɑ̃----an---anno- 0.0167 (0.803)annuman---ɐ-nu-a-ɲo-a-ɲ--ɑ̃----ɑ̃----a-n--anno- 0.0111 (0.814)annuma-n--ɐ-nu-a-ɲo-a-ɲ--ɑ̃----ɑ̃----a-n--anno- 0.00866 (0.822)annuman---ɐn-u-aɲ-o-aɲ---ɑ̃----ɑ̃----an---anno- 0.00509 (0.827)annum-a-n---ɐn---uaɲ---oaɲ-----ɑ̃-----ɑ̃----an----ann--oYou PluralProbability1234567890.00.40.81.0LatinRomanianPortugueseSpanishCatalanFrenchWalloonFriulianItalian 0.446woːsvoj-vɔʃbosbusvu-vo-voː-voi 0.0832 (0.529)woːsv-ojvɔʃbosbusvu-vo-voː-voi 0.0715 (0.601)woːs-voj--vɔʃ-bos-bus-vu--vo--voː--vo-i 0.0654 (0.666)woː-svoj--vɔ-ʃbo-sbu-svu--vo--voː--voi- 0.0266 (0.693)woːsvoj-vɔʃbosbusvu-vo-v-oːvoi 0.0127 (0.705)woːs-v--ojvɔʃ-bos-bus-vu--vo--voː--vo-i 0.0110 (0.716)w-oːsv-oj-v-ɔʃb-osb-usv-u-v-o-v-oː-voi- 0.00940 (0.726)-woːsv-oj-v-ɔʃb-osb-usv-u-v-o-v-oː-v-oi 0.00869 (0.735)woː-sv-oj-vɔ-ʃbo-sbu-svu--vo--voː--voi-