Papers with filtering method

1 papers
Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation (2022.emnlp-main)

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Challenge: Existing noisy corpora filtering methods are insufficient to solve this problem, requiring multiple scorers trained on clean bitexts.
Approach: They propose to use the information ratio from the source to the target side to distinguish unparallel sentence pairs by using norms of context vectors.
Outcome: The proposed method performs comparably with state-of-the-art noisy corpora filtering techniques but is more efficient and easier to operate.

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