Testing distributional hypothesis in patent translation

Hsin Hung Lin*, Yves Lepage

*この研究の対応する著者

研究成果: Conference contribution

抄録

This paper presents a wordlist-based lexical richness approach to testing distributional hypothesis for genre analysis in translation studies. In recent years, there has been continuing interest in patent translation. However, there are only a few lay their interests on comparison between native and non-native writing. The proposed approach to terms distrubution of technical words contained in United States Patent and Trademark Office (USPTO) and Japan Patent Office (JPO) in terms of lexical variation, lexical density and lexical sophistication, in brief, highlights distributional similarity of technical genre, and in particular, distibutional difference of academic and general genres.

本文言語English
ホスト出版物のタイトルProceedings of the 26th Conference on Computational Linguistics and Speech Processing, ROCLING 2014
編集者Chia-Hui Chang, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Shih-Hung Wu
出版社The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
ページ185-192
ページ数8
ISBN(電子版)9789573079279
出版ステータスPublished - 2014 9月 1
イベント26th Conference on Computational Linguistics and Speech Processing, ROCLING 2014 - Zhongli, Taiwan, Province of China
継続期間: 2014 9月 252014 9月 26

出版物シリーズ

名前Proceedings of the 26th Conference on Computational Linguistics and Speech Processing, ROCLING 2014

Conference

Conference26th Conference on Computational Linguistics and Speech Processing, ROCLING 2014
国/地域Taiwan, Province of China
CityZhongli
Period14/9/2514/9/26

ASJC Scopus subject areas

  • 言語聴覚療法
  • 言語および言語学

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