245 / 2018-04-15 18:17:55
Analyzing Speaking Tasks: Lexical knowledge and fluency in monologic and dialogic speaking tasks
fluency, oral proficiency, speaking tasks
Abstract Accepted
Dion Clingwall / Prefectural University of Hiroshima
The current paper explores potential relationships between speaking task, fluency, and lexical knowledge. Recent findings (Tavakoli, 2016; De Jong et al., 2012; Saito, et al., 2016) suggest that when assessing L2 speakers’ oral proficiency, fluency scores vary depending on the task according to such indices as articulation, pausing and sophistication. We present a study in which we use the three (monologic, quasi-dialogic, and dialogic) speaking tasks, taken from the IELTS test. We also explore the claim that lexical frequency profile data can inform vocabulary needs, based on Walters (2012) suggestion that ‘reporting a lexical frequency profile of the lower frequency words, rather than a single score, might make [results] more useful in comparing individual learners’ (p.184).

Our subjects were 44 Japanese learners of English (L2). The subjects responded to the three IELTS speaking prompts. We carried out both fluency and lexical analyses as well as productive vocabulary testing. We examined the lexical frequency profiles of their spoken corpora, in addition to rating fluency in terms of pause length, articulation rate, lexical diversity, and sophistication, according to two recent and much cited fluency studies De Jong et al. (2012) and Saito et al. (2016). Subjects also completed two vocabulary measures designed to elicit productive vocabulary (Lex30; Meara and Fitzpatrick, 2000) and vocabulary size (New Vocabulary Levels Test; McLean and Kramer, 2015).

We report two major findings from our data. First, comparisons between test scores indicate that subjects rate more highly for fluency performance in dialogic tasks than in monologic tasks. Second, when we explore the lexical frequency profiles of our subject corpora, we find that subject ‘mastery’ (Laufer and Nation, 1999) of specific frequency bands (i.e. knowledge of 2k band, 3k band, etc.) correlates with fluency indices such as articulation rate, lexical sophistication, and lexical diversity. We discuss these findings in terms of practical classroom assessment applications relevant to instructors, second language learners, and policy makers.
Important Date
  • Conference Date

    Oct 18

    2018

    to

    Oct 20

    2018

  • Mar 31 2018

    Abstract Submission Deadline

  • Apr 28 2018

    Abstract Notification of Acceptance

  • Jun 01 2018

    Draft paper submission deadline

  • Oct 20 2018

    Registration deadline

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