A Survey of Machine Translation Technologies for Machine Translation on Patent Documents
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- Imamura Kenji
- National Institute of Information and Communication Technologies
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- Echizen-ya Hiroshi
- Hokkai-Gakuen University
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- Ehara Terumasa
- Ehara NLP Research Laboratory
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- Goto Isao
- Japan Broadcasting Corporation
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- Sudoh Katsuhito
- Nara Institute of Science and Technology
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- Sonoh Satoshi
- Toshiba Digital Solutions Corporation
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- Tsunakawa Takashi
- Shizuoka University
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- Nakazawa Toshiaki
- The University of Tokyo
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- Ninomiya Takashi
- Ehime University
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- Wang Xiangli
- Deep Language Co., Ltd.
Bibliographic Information
- Other Title
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- 特許機械翻訳の課題解決に向けた機械翻訳技術解説
Description
<p>This survey paper reviews machine translation technologies for patent documents. Patent machine translation has been studied for a long time and has evolved by recent neural machine translation. This paper focuses on the following issues with future directions: under- and over translation, consistent technical term translation, long sentence translation, low-resource language pairs, evaluation, efficiency in speed and memory. </p>
Journal
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- Journal of Natural Language Processing
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Journal of Natural Language Processing 29 (3), 925-985, 2022
The Association for Natural Language Processing
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Details 詳細情報について
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- CRID
- 1390293424296461312
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- ISSN
- 21858314
- 13407619
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed
