Papers by Ivana Kvapilíková

1 papers
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining (2020.acl-srw)

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Challenge: Existing models of multilingual sentence embeddings require large parallel data resources which are not available for low-resource languages.
Approach: They propose an unsupervised method to derive multilingual sentence embeddings using monolingual data.
Outcome: The proposed method improves on two parallel corpus mining tasks and for other languages.

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