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Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian

Abstract : The paper presents a method for parsing low-resource languages with very small training corpora using multilingual word embeddings and annotated corpora of larger languages. The study demonstrates that specific language combinations enable improved dependency parsing when compared to previous work, allowing for wider reuse of pre-existing resources when parsing low-resource languages. The study also explores the question of whether contemporary contact languages or genetically related languages would be the most fruitful starting point for multilingual parsing scenarios.
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https://hal.archives-ouvertes.fr/hal-01856178
Contributor : Thierry Poibeau <>
Submitted on : Sunday, August 12, 2018 - 12:02:30 AM
Last modification on : Tuesday, January 5, 2021 - 5:28:07 PM
Long-term archiving on: : Tuesday, November 13, 2018 - 12:13:13 PM

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Kyungtae Lim, Niko Partanen, Thierry Poibeau. Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian. Language Resource and Evaluation Conference, ELRA, May 2018, Miyazaki, Japan. ⟨hal-01856178⟩

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