Abstract
Simultaneous machine translation (SIMT) involves translating source utterances to the target language in real-time before the speaker utterance completes. This paper proposes the multilingual approach to SIMT, where a single model simultaneously translates between multiple language-pairs. This not only results
in more efficiency in terms of the number of models and parameters (hence simpler deployment), but may also lead to higher performing models by capturing commonalities among the languages. We further explore simple and effective multilingual architectures based on two strong recently proposed SIMT models. Our results on translating from two Germanic languages (German, Dutch) and three Romance languages (French, Italian, Romanian) into English
show (i) the single multilingual model is on-par or better than individual models, and (ii) multilingual SIMT models trained based on language families are on-par or better than the universal model trained for all languages.
in more efficiency in terms of the number of models and parameters (hence simpler deployment), but may also lead to higher performing models by capturing commonalities among the languages. We further explore simple and effective multilingual architectures based on two strong recently proposed SIMT models. Our results on translating from two Germanic languages (German, Dutch) and three Romance languages (French, Italian, Romanian) into English
show (i) the single multilingual model is on-par or better than individual models, and (ii) multilingual SIMT models trained based on language families are on-par or better than the universal model trained for all languages.
Original language | English |
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Title of host publication | Findings of the Association for Computational Linguistics |
Subtitle of host publication | ACL-IJCNLP 2021 |
Editors | Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli |
Place of Publication | Stroudsburg PA USA |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 4758–4766 |
Number of pages | 9 |
ISBN (Electronic) | 9781954085541 |
DOIs | |
Publication status | Published - 2021 |
Event | Annual Meeting of the Association of Computational Linguistics and International Joint Conference on Natural Language Processing 2021 - Online, Bangkok, Thailand Duration: 1 Aug 2021 → 6 Aug 2021 Conference number: 59th & 11th https://aclanthology.org/2021.acl-long.0/ (Proceedings) https://2021.aclweb.org (Website) https://aclanthology.org/volumes/2021.findings-acl/ (Findings Proceedings) https://aclanthology.org/2021.acl-short.100/ (Proceedings Short) |
Conference
Conference | Annual Meeting of the Association of Computational Linguistics and International Joint Conference on Natural Language Processing 2021 |
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Abbreviated title | ACL-IJCNLP 2021 |
Country/Territory | Thailand |
City | Bangkok |
Period | 1/08/21 → 6/08/21 |
Internet address |
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