Constructing a longitudinal learner corpus to track L2 spoken English

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Abe Mariko Yusuke Kondo

Abstract

The main purposes of this article are to provide an overview of a research project on a longitudinal learner spoken corpus and to share procedures related to the transcription of learners’ utterances from audio files using automated speech recognition (ASR) technology (IBM Watson Speech-to-text). The data of the corpus were collected twice or thrice a year for three consecutive years from 2016, creating eight data collection points altogether. They were gathered from 120 secondary school students who had been learning English in an English as a Foreign Language context for three years. The students were asked to take a monologue speaking test, the Telephone Standard Speaking Test, consisting of various tasks. The overall discussion of the article focuses on the details of this project and highlights how a methodological approach of combining electronic learner language data and ASR technology is useful in constructing learner spoken corpora.

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How to Cite
MARIKO, Abe; KONDO, Yusuke. Constructing a longitudinal learner corpus to track L2 spoken English. Journal of Modern Languages, [S.l.], v. 29, p. 23-44, dec. 2019. ISSN 2462-1986. Available at: <https://jml.um.edu.my/article/view/21323>. Date accessed: 02 july 2020. doi: https://doi.org/10.22452/jml.vol29no1.2.
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