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Parallel Sentence Mining by Constrained Decoding

2020-07-01ACL 2020Code Available1· sign in to hype

Pin-zhen Chen, Nikolay Bogoychev, Kenneth Heafield, Faheem Kirefu

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Abstract

We present a novel method to extract parallel sentences from two monolingual corpora, using neural machine translation. Our method relies on translating sentences in one corpus, but constraining the decoding by a prefix tree built on the other corpus. We argue that a neural machine translation system by itself can be a sentence similarity scorer and it efficiently approximates pairwise comparison with a modified beam search. When benchmarked on the BUCC shared task, our method achieves results comparable to other submissions.

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