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contiguous cells. When the algorithm finishes, the cell in the bottom righthand corner represents the minimum number of insertions, deletions or substitutions necessary to turn one string into the other. The ASJP project takes the Levenshtein distance for calculating the distance between two words and applies

In: Language Dynamics and Change
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classification – asjpweighted string alignment 1 Introduction Recent years have seen the introduction ofmany proposals to use phylogenetic inference techniques frombioinformatics in order to extract informationabout genetic relations from languages. There are essentially two basic approaches being currently

In: Quantifying Language Dynamics
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is developed in Section 3. Section 4 discusses the issue how to evaluate distance measures between languages and presents a comparative evaluation of the different aggregation methods. Section 5 introduces weighted word alignment and presents the procedure to train the required weights with ASJP data

Open Access
In: Language Dynamics and Change

] 4.416 0.943 2.291 0.988 2.741 0.932 2.2 Information-Weighted Sequence Alignment

Open Access
In: Language Dynamics and Change
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, Søren, Eric W. Holman, and Cecil H. Brown. 2018. The ASJP Database (version 18) . editions. https://asjp.clld.org . (accessed 15.9.2019). Wieling, Martijn, Jelena Prokić, and John Nerbonne. 2009. Evaluating the Pairwise String Alignment of Pronunciations. In Proceedings of the EACL

In: Language Dynamics and Change

upon word lists for 451 doculects from 15 groups of related languages in the ASJP database (Wichmann et al., 2018). It was shown that the differences between the word lists, when displayed in density plots (essentially equivalent to smoothed histograms), tended to show bimodal distributions (double

In: Language Dynamics and Change

languages in the asjp database (Wichmann et al., 2018). It was shown that the differences between the word lists, when displayed in density plots (essentially equivalent to smoothed his- tograms), tended to show bimodal distributions (double humps reminiscent of a Bactrian camel). The “valley” or near

, André Müller, and Dik Bakker. 2008. Explorations in automated language classification. Folia Linguistica 42(3–4): 331–354. Jäger, Gerhard. 2013. Phylogenetic inference from word lists using weighted alignment with empirically determined weights. Language Dynamics and Change 3(2): 245

In: Language Dynamics and Change

use a basic string-edit model for the evaluation of alignments, distinguish- ing three different terms in the scoring functions of our implementation: σ is the (mis)match scoring function, δ is the deletion/insertion scoring function and κ is the contraction/expansion scoring function. Contractions

In: Language Dynamics and Change

inference from word lists using weighted alignment with empirically determined weights. Language Dynamics and Change 3(2): 245–291. Jeffers, Robert and Ilse Lehiste. 1979. Principles and Methods for Historical Linguistics . Cambridge, MA: MIT Press. Johanson, Lars and Éva Á. Csató (eds

In: Language Dynamics and Change