Papers with source-to-target language and target-to-source language representations

1 papers
Structural Contrastive Pretraining for Cross-Lingual Comprehension (2023.findings-acl)

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Challenge: Existing methods to train multilingual language models using pretraining tasks like mask language modeling have yielded promising results on a wide range of downstream tasks.
Approach: They propose a new task to align the structural words in a parallel sentence, enhancing models’ ability to comprehend cross-lingual representations.
Outcome: The proposed task improves model's ability to comprehend cross-lingual representations by increasing the frequency of negative pairings.

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