Papers with cluster-based isotropy enhancement technique

1 papers
Improving Parallel Sentence Mining for Low-Resource and Endangered Languages (2025.acl-short)

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Challenge: Parallel sentence mining is a technique used to find matching sentence pairs from a source and target language.
Approach: They propose a benchmark dataset for parallel sentence mining on three low-resource languages . they apply alignment post-processing and cluster-based isotropy enhancement techniques to one of them .
Outcome: The proposed datasets show better mining quality overall for low-resource languages . the proposed methods are crucial for optimizing parallel data extraction for low resource languages - a new study shows.

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