Papers by Leah Michel

1 papers
Exploring Bilingual Word Embeddings for Hiligaynon, a Low-Resource Language (2020.lrec-1)

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Challenge: Existing studies on Hiligaynon, a low-resource language of Malayo-Polynesian origin, have not explored the use of bilingual word embeddings in NLP.
Approach: They use a publicly available Hiligaynon corpus with only 300K words to match it with a comparable English corpus.
Outcome: The proposed model outperforms results from a low-resource language of Malayo-Polynesian origin with over 9 million speakers in the Philippines.

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