DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Gyubok | ko |
dc.contributor.author | Yang, Seongjun | ko |
dc.contributor.author | Choi, Edward | ko |
dc.date.accessioned | 2021-08-11T00:30:31Z | - |
dc.date.available | 2021-08-11T00:30:31Z | - |
dc.date.created | 2021-06-08 | - |
dc.date.created | 2021-06-08 | - |
dc.date.created | 2021-06-08 | - |
dc.date.created | 2021-06-08 | - |
dc.date.issued | 2021-08-04 | - |
dc.identifier.citation | The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pp.743 - 753 | - |
dc.identifier.uri | http://hdl.handle.net/10203/287132 | - |
dc.description.abstract | Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems. To address this, lexically constrained NMT explores various methods to ensure pre-specified words and phrases appear in the translation output. However, in many cases, those methods are studied on general domain corpora, where the terms are mostly uni- and bi-grams (>98%). In this paper, we instead tackle a more challenging setup consisting of domain-specific corpora with much longer n-gram and highly specialized terms. Inspired by the recent success of masked span prediction models, we propose a simple and effective training strategy that achieves consistent improvements on both terminology and sentence-level translation for three domain-specific corpora in two language pairs. | - |
dc.language | English | - |
dc.publisher | Association for Computational Linguistics | - |
dc.title | Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction | - |
dc.type | Conference | - |
dc.identifier.wosid | 000694699200094 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 743 | - |
dc.citation.endingpage | 753 | - |
dc.citation.publicationname | The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) | - |
dc.identifier.conferencecountry | TH | - |
dc.identifier.conferencelocation | Virtual | - |
dc.contributor.localauthor | Choi, Edward | - |
dc.contributor.nonIdAuthor | Yang, Seongjun | - |
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