2018
DOI: 10.1093/jole/lzy006
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Sequence comparison in computational historical linguistics

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Cited by 47 publications
(90 citation statements)
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“…Defining which words in multilingual word lists are cognate is still a notoriously difficult task for machines (List, 2014). Given that the majority of datasets are based on manually edited cognate judgments, it is important to have tools which facilitate this task while at the same time controlling for typical errors.…”
Section: Cognate Assessmentmentioning
confidence: 99%
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“…Defining which words in multilingual word lists are cognate is still a notoriously difficult task for machines (List, 2014). Given that the majority of datasets are based on manually edited cognate judgments, it is important to have tools which facilitate this task while at the same time controlling for typical errors.…”
Section: Cognate Assessmentmentioning
confidence: 99%
“…Since historical-comparative linguistics is essentially based on sequence comparison (List, 2014), alignment analyses, in which words are arranged in a matrix in such a way that corresponding sounds are placed in the same column, are underlying all cognate sets. Unfortunately they are rarely made explicit in classical etymological dictionaries.…”
Section: Phonetic Alignmentmentioning
confidence: 99%
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“…Based on a scoring function which defines transition scores between the sound classes, phonetic sequences are aligned and similarity and distance scores can be determined. The LexStat approach List (2012aList ( , 2014b) also uses sound classes, but instead of using a pre-defined scoring function, transition scores between sound classes are determined with help of a permutation test. In this test, words drawn from a randomized sample are repeatedly aligned with each other in order to create a distribution of sound transitions for unrelated languages.…”
Section: Sequence Similaritymentioning
confidence: 99%
“…With SCA and LexStat, two classical methods for cognate detection were tested List (2014b), and their underlying models for phonetic similarity (see Sec. 3.1) were used as basis for the partial cognate detection algorithm.…”
Section: Analyses and Evaluationmentioning
confidence: 99%