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[4N4-IS-1c-02] A Study on Machine Translation utilizing Similar Translation Retrieval
キーワード：neural machine translation, neural fuzzy repair, SBERT, similar translation retrieval
Neural Fuzzy Repair (NFR) system enables an NMT system to improve
translation accuracy using similar translations searched from
Translation Memory. This thesis compared edit distance and
sentence-BERT (SBERT) as the similarity measures used in the search for
similar translations, and showed that SBERT outperformed edit distance
in the case of small corpus sizes. This thesis also studied a method to
automatically select the most appropriate translation from more than one
candidates. Compared to the naive method based on the number of tokens,
the method based on the inner product of SBERT's sentence embedding
achieved significant improvements. These results prove the
effectiveness of the SBERT-based approach in the NFR system.
translation accuracy using similar translations searched from
Translation Memory. This thesis compared edit distance and
sentence-BERT (SBERT) as the similarity measures used in the search for
similar translations, and showed that SBERT outperformed edit distance
in the case of small corpus sizes. This thesis also studied a method to
automatically select the most appropriate translation from more than one
candidates. Compared to the naive method based on the number of tokens,
the method based on the inner product of SBERT's sentence embedding
achieved significant improvements. These results prove the
effectiveness of the SBERT-based approach in the NFR system.
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