Papers with translation ranking task

2 papers
Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning (2023.emnlp-main)

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Challenge: Existing methods require syntactic labels that are difficult to obtain and of poor quality for low-resource languages.
Approach: They propose a syntactic alignment model that leverages reinforcement learning to discover universal syntaktic structures for cross-lingual PLM alignment.
Outcome: The proposed model improves cross-lingual representation alignment on the XTREME benchmark.
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast (2021.emnlp-main)

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Challenge: Existing work uses sentences within the same batch as negatives, which suffers from easy negatives.
Approach: They propose to align sentence representations from different languages into a unified embedding space . they adapt MoCo to further improve the quality of alignment .
Outcome: The proposed model achieves state-of-the-art on several tasks.

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