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

Masahiro Shibata, Toshiaki Funatsu, Yoichi Tomiura

Research output: Contribution to journalConference articlepeer-review

Abstract

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'.

Original languageEnglish
Pages (from-to)32-41
Number of pages10
JournalProcedia - Social and Behavioral Sciences
Volume27
DOIs
Publication statusPublished - 2011
EventConference on Pacific Association for Computational Linguistics, PACLING 2011 - Kuala Lumpur, Malaysia
Duration: Jul 19 2011Jul 21 2011

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)
  • Psychology(all)

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