Papers by Ivana Kvapilíková
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. |