1. Paper title
Parallel Sentence Mining by Constrained Decoding
2. link
https://www.aclweb.org/anthology/2020.acl-main.152.pdf
3. 摘要
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.