Mover: A Machine Learning Tool to Assist in the Reading and Writing of Technical Papers

Laurence Anthony*, George V. Lashkia

*この研究の対応する著者

研究成果: Article査読

30 被引用数 (Scopus)

抄録

When faced with the tasks of reading and writing a complex technical paper, many nonnative scientists and engineers who have a solid background in English grammar and vocabulary lack an adequate knowledge of commonly used structural patterns at the discourse level. In this paper, we propose a novel computer software tool that can assist these people in the understanding and construction of technical papers, by automatically identifying the structure of writing in different fields and disciplines. The system is tested using research article abstracts and is shown to be a fast, accurate, and useful aid in the reading and writing process.

本文言語English
ページ(範囲)185-193
ページ数9
ジャーナルIEEE Transactions on Professional Communication
46
3
DOI
出版ステータスPublished - 2003 9月
外部発表はい

ASJC Scopus subject areas

  • 労使関係
  • 電子工学および電気工学

フィンガープリント

「Mover: A Machine Learning Tool to Assist in the Reading and Writing of Technical Papers」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル