Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists

Frederic Blum, Johann-Mattis List


Abstract
Sound correspondence patterns form the basis of cognate detection and phonological reconstruction in historical language comparison. Methods for the automatic inference of correspondence patterns from phonetically aligned cognate sets have been proposed, but their application to multilingual wordlists requires extremely well annotated datasets. Since annotation is tedious and time consuming, it would be desirable to find ways to improve aligned cognate data automatically. Taking inspiration from trimming techniques in evolutionary biology, which improve alignments by excluding problematic sites, we propose a workflow that trims phonetic alignments in comparative linguistics prior to the inference of correspondence patterns. Testing these techniques on a large standardized collection of ten datasets with expert annotations from different language families, we find that the best trimming technique substantially improves the overall consistency of the alignments, showing a clear increase in the proportion of frequent correspondence patterns and words exhibiting regular cognate relations.
Anthology ID:
2023.sigtyp-1.6
Volume:
Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
Month:
May
Year:
2023
Address:
Dubrovnik, Croatia
Editors:
Lisa Beinborn, Koustava Goswami, Saliha Muradoğlu, Alexey Sorokin, Ritesh Kumar, Andreas Shcherbakov, Edoardo M. Ponti, Ryan Cotterell, Ekaterina Vylomova
Venue:
SIGTYP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
52–64
Language:
URL:
https://aclanthology.org/2023.sigtyp-1.6
DOI:
10.18653/v1/2023.sigtyp-1.6
Bibkey:
Cite (ACL):
Frederic Blum and Johann-Mattis List. 2023. Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists. In Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 52–64, Dubrovnik, Croatia. Association for Computational Linguistics.
Cite (Informal):
Trimming Phonetic Alignments Improves the Inference of Sound Correspondence Patterns from Multilingual Wordlists (Blum & List, SIGTYP 2023)
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PDF:
https://aclanthology.org/2023.sigtyp-1.6.pdf
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 https://aclanthology.org/2023.sigtyp-1.6.mp4