Extraction of alternative candidates for unnatural adjective-noun co-occurrence constructions of English

Masahiro Shibata, Toshiaki Funatsu, Yoichi Tomiura

研究成果: Contribution to journalConference article査読

抄録

While it is already possible to construct a large-scale English corpus easily and inexpensively using web documents, such documents have problems of reliability with respect to their English quality. Thus, we have developed a system that automatically gathers English technical papers from the web, sorts them into those written by native speakers and those written by non-native speakers, and then uses them to construct a native speaker and non-native speaker corpus. We discuss a method of using the corpus for providing alternative candidates for appropriate adjectives against unnatural English adjective-noun co-occurrence constructions 〈a,n〉. The appropriateness of adjective a' is evaluated based on the similarity of the occurring environments between a and a'.

本文言語英語
ページ(範囲)32-41
ページ数10
ジャーナルProcedia - Social and Behavioral Sciences
27
DOI
出版ステータス出版済み - 2011
イベントConference on Pacific Association for Computational Linguistics, PACLING 2011 - Kuala Lumpur, マレーシア
継続期間: 7 19 20117 21 2011

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)
  • Psychology(all)

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