Empirical Approaches to Measuring the Intelligibility of Different Varieties of English in Predicting Listener Comprehension

Okim Kang, Ron I. Thomson, Meghan Moran

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This study compared five research-based intelligibility measures as they were applied to six varieties of English. The objective was to determine which approach to measuring intelligibility would be most reliable for predicting listener comprehension, as measured through a listening comprehension test similar to the Test of English as a Foreign Language. The speakers included 18 English users representing six distinct varieties. These speakers’ speech was evaluated by 60 listeners, users of the same English varieties who completed the listening comprehension test as well as five intelligibility tasks, all recorded by the speakers. The five measures of intelligibility included responses to true/false statements, scalar ratings of speech, perception of nonsense sentences, perception of filtered sentences, and transcription of speech; these measures were compared in terms of their relationship to listening comprehension scores using linear mixed-effects models. Results showed that the measure of intelligibility based on listeners’ responses to nonsense sentences was the strongest predictor of the listening comprehension scores.

Original languageEnglish (US)
Pages (from-to)115-146
Number of pages32
JournalLanguage Learning
Volume68
Issue number1
DOIs
StatePublished - Mar 1 2018

Fingerprint

listening comprehension
listener
comprehension
foreign language
rating
Varieties of English
Intelligibility
Listeners
Listening Comprehension

Keywords

  • assessment
  • comprehension
  • English varieties
  • intelligibility
  • listening
  • nonnative

ASJC Scopus subject areas

  • Education
  • Language and Linguistics
  • Linguistics and Language

Cite this

Empirical Approaches to Measuring the Intelligibility of Different Varieties of English in Predicting Listener Comprehension. / Kang, Okim; Thomson, Ron I.; Moran, Meghan.

In: Language Learning, Vol. 68, No. 1, 01.03.2018, p. 115-146.

Research output: Contribution to journalArticle

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