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        <title>Rethinking Phonotactic Complexity</title>
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    <name type="personal">
        <namePart type="given">Tiago</namePart>
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            <title>Proceedings of the 2019 Workshop on Widening NLP</title>
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    <abstract>In this work, we propose the use of phone-level language models to estimate phonotactic complexity—measured in bits per phoneme—which makes cross-linguistic comparison straightforward. We compare the entropy across languages using this simple measure, gaining insight on how complex different language’s phonotactics are. Finally, we show a very strong negative correlation between phonotactic complexity and the average length of words—Spearman rho=-0.744—when analysing a collection of 106 languages with 1016 basic concepts each.</abstract>
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%0 Conference Proceedings
%T Rethinking Phonotactic Complexity
%A Pimentel, Tiago
%A Roark, Brian
%A Cotterell, Ryan
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F pimentel-etal-2019-rethinking
%X In this work, we propose the use of phone-level language models to estimate phonotactic complexity—measured in bits per phoneme—which makes cross-linguistic comparison straightforward. We compare the entropy across languages using this simple measure, gaining insight on how complex different language’s phonotactics are. Finally, we show a very strong negative correlation between phonotactic complexity and the average length of words—Spearman rho=-0.744—when analysing a collection of 106 languages with 1016 basic concepts each.
%U https://aclanthology.org/W19-3628
%P 88-90

Markdown (Informal)

[Rethinking Phonotactic Complexity](https://aclanthology.org/W19-3628) (Pimentel et al., WiNLP 2019)

• Rethinking Phonotactic Complexity (Pimentel et al., WiNLP 2019)

ACL

• Tiago Pimentel, Brian Roark, and Ryan Cotterell. 2019. Rethinking Phonotactic Complexity. In Proceedings of the 2019 Workshop on Widening NLP, pages 88–90, Florence, Italy. Association for Computational Linguistics.