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Prefix Alignment for Training Simultaneous Machine Translation
http://hdl.handle.net/10061/0002000146
http://hdl.handle.net/10061/0002000146d41010e2-0d07-48f1-ab0b-a627fb668fce
| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2024-03-22 | |||||||
| タイトル | ||||||||
| タイトル | Prefix Alignment for Training Simultaneous Machine Translation | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | Neural Machine Translation | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | Simultaneous Translation | |||||||
| 資源タイプ | ||||||||
| 資源タイプ | journal article | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| 著者 |
Kano,Yasumasa
× Kano,Yasumasa
× 須藤, 克仁× 中村, 哲 |
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Simultaneous translation is a task that starts translation even before the speaker has finished speaking. This study focuses on prefix-to-prefix translation and proposes a method to align prefixes in a bilingual sentence pair iteratively to train a machine translation model to work with prefix-to-prefix. In the experiments, the proposed method demonstrated higher BLEU than those of the baseline methods in low latency ranges on the IWSLT simultaneous translation benchmark. However, the proposed method degraded the performance in high latency ranges in the English-to-Japanese experiments; thus, we analyzed it in length ratios and prefix boundary prediction accuracies. The obtained results suggested that the degraded performance was due to the large word order difference between English and Japanese. | |||||||
| 書誌情報 |
en : 自然言語処理 巻 31, 号 1, p. 79-104, 発行日 2024-03-15 |
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| 出版者 | ||||||||
| 出版者 | 言語処理学会 | |||||||
| ISSN | ||||||||
| 収録物識別子タイプ | EISSN | |||||||
| 収録物識別子 | 2185-8314 | |||||||
| 出版者版DOI | ||||||||
| 関連タイプ | isReplacedBy | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.5715/jnlp.31.79 | |||||||
| 出版者版URI | ||||||||
| 関連タイプ | isReplacedBy | |||||||
| 識別子タイプ | URI | |||||||
| 関連識別子 | https://www.jstage.jst.go.jp/article/jnlp/31/1/31_79/_article/-char/ja/ | |||||||
| 権利 | ||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by/4.0/ | |||||||
| 権利情報 | (C) The Association for Natural Language Processing. Licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | NA | |||||||
