Testing distributional hypothesis in patent translation

Hsin Hung Lin, Yves Lepage

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 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 252014 9 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
CountryTaiwan, Province of China
CityZhongli
Period14/9/2514/9/26

ASJC Scopus subject areas

  • Speech and Hearing
  • Language and Linguistics

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