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

Jäger, Gerhard; List, Johann-Mattis; Safroniev, Pavel

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

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

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

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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: https://hdl.handle.net/11858/00-001M-0000-002C-EC45-0

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