Papers with back-translation data filtering

1 papers
Constructing Multilingual Code Search Dataset Using Neural Machine Translation (2023.acl-srw)

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Challenge: Existing datasets for code search are monolingual, but their query data are only in English.
Approach: They construct a multilingual code search dataset in four natural and four programming languages using a neural machine translation model and apply back-translation data filtering to it.
Outcome: The proposed model pre-trained with all natural and programming language data performs best under almost all settings.

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