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Book Chapter

Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists

MPS-Authors

Jäger,  Gerhard
Computer-Assisted Language Comparison, Max Planck Institute for the Science of Human History, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons201886

List,  Johann-Mattis
Computer-Assisted Language Comparison, Max Planck Institute for the Science of Human History, Max Planck Society;

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Fulltext (public)

shh757.pdf
(Publisher version), 4MB

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Citation

Jäger, G., List, J.-M., & Safroniev, P. (2017). Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists. In Association for Computational Linguistics (EACL) (Ed.), Proceedings of the 15. EACL 2017 Software Demonstrations, Valencia, Spain, April 3-7 2017 (pp. 1204-1215). Stroudsburg PA, USA: ACL.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002C-EC45-0
Abstract
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