Papers with DM-BLI

1 papers
DM-BLI: Dynamic Multiple Subspaces Alignment for Unsupervised Bilingual Lexicon Induction (2024.acl-long)

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Challenge: Existing approaches to unsupervised bilingual lexicon induction (BLI) fail on distant or low-resource language pairs, achieving less than half the performance observed in rich-resourced languages.
Approach: They propose a framework for unsupervised bilingual lexicon induction that uses multiple subspace alignments instead of a single mapping.
Outcome: Experiments on 12 language pairs show that the proposed framework improves language alignment by utilizing multiple subspace alignments instead of a single mapping.

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