Transitional probability predicts native and non-native use of formulaic sequences

Randy Appel*, Pavel Trofimovich

*この研究の対応する著者

研究成果: Article査読

12 被引用数 (Scopus)

抄録

Formulaic sequences (FSs), or prefabricated multi-word structures (e.g. on the other hand), are often difficult to identify objectively, and current corpus-driven methods yield structurally incomplete, overlapping, or overly extended structures of questionable psychological validity and pedagogical usefulness. To address these limitations, this study evaluated transitional probability as a potential metric to improve the identification of FSs by presenting 100 four-word sequences from the British National Corpus, varying in transitional probabilities between words, to native and non-native speakers of English (N = 293) in a sequence completion task (e.g. for the sake__). Results revealed that the application of transitional probability reduces many of the problems associated with current approaches to FS identification and can produce lists of FSs that are more functionally salient and psychologically valid.

本文言語English
ページ(範囲)24-43
ページ数20
ジャーナルInternational Journal of Applied Linguistics (United Kingdom)
27
1
DOI
出版ステータスPublished - 2017 3月 1
外部発表はい

ASJC Scopus subject areas

  • 言語および言語学
  • 言語学および言語

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