Interlanguage talk: What can breadth of knowledge features tell us about input and output differences?

Scott A. Crossley, Danielle S. McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this study is to investigate the use of breadth of knowledge lexical features in non-native speakers' (NNS) input and output. Our primary interest is analyzing potential breadth of knowledge lexical differences in the output of NNSs when engaged in interlanguage talk (NNS-NNS) and when engaged in naturalistic speech with a native speaker (NS). We are also interested in input differences for NNSs when engaged in interlanguage talk and when speaking with NSs To analyze these potential differences, we compare the linguistic features in spoken corpora taken from three dyads (NS-NNS, NNS-NS, NNS-NNS) using the computational tool Coh-Metrix. Our goal is to examine if lexical production differs as a function of interlocutor and examine if the findings have indications for interlanguage development. The results indicate that NNSs produce significantly greater lexical diversity and higher word frequency (i.e., more common words) in interlanguage dyads than in NNS-NS dyads. No significant differences in available NNS input were found between NS-NNS and NNS-NNS dyads. These findings have important implications for the developmental role of interlanguage speech in lexical acquisition.

Original languageEnglish (US)
Title of host publicationProceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
Pages229-234
Number of pages6
StatePublished - Oct 19 2010
Externally publishedYes
Event23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 - Daytona Beach, FL, United States
Duration: May 19 2010May 21 2010

Publication series

NameProceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23

Other

Other23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
CountryUnited States
CityDaytona Beach, FL
Period5/19/105/21/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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  • Cite this

    Crossley, S. A., & McNamara, D. S. (2010). Interlanguage talk: What can breadth of knowledge features tell us about input and output differences? In Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 (pp. 229-234). (Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23).