Papers with Japanese-to-English translation model

1 papers
SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP (2020.coling-main)

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Challenge: Existing methods for automatic sentence alignment assume monotonic alignments, but they can handle non-monotonic alignments.
Approach: They propose a method to automatically extract parallel sentences from noisy parallel documents by embeddings and encoding each source and target sentence.
Outcome: The proposed method improves translation accuracy by 4.1 BLEU scores on English-Japanese . it can predict spans in target document from sentences in source document .

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