Papers with cross-lingual word representation

1 papers
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment (2024.findings-naacl)

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Challenge: Current approaches to obtain cross-lingual sentence embeddings rely on pre-trained language models that implicitly align the contextual representations of similar units of sentences in different languages.
Approach: They propose a framework that explicitly aligns words between English and eight low-resource languages by using off-the-shelf word alignment models.
Outcome: The proposed framework improves on the bitext retrieval task and in high-resource languages.

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