The ICNALE Spoken Dialogue: A New Dataset for the Study of Asian Learners' Performance in L2 English Interviews

Y

25

Second Language Learning; Second Language Instruction; English (Second Language); Native Speakers; Language Fluency; Interviews; Computational Linguistics; Video Technology; Asians; Dialogs (Language); Case Studies; Language Usage; Vocabulary; Interlanguage; Oral Language; Language Proficiency; Contrastive Linguistics; Language Tests; Graduate Students; Undergraduate Students; Foreign Countries

1017-7108

This paper first surveys three kinds of learner interview corpora (LINDSEI, NICT-JLE Corpus, and Trinity Lancaster Corpus), paying particular attention to their interview structures. Then, it explains the principles and features of the ICNALE Spoken Dialogue (ICNALE SD), which includes 425 videos and approximately 1.6-million-word transcripts of the L2 English interviews with 405 learners from ten regions in Asia and twenty native speakers. The ICNALE SD is one of the largest learner interview corpora and practically the sole dataset for the analysis of dialogue speeches by various Asian learners. As a case study based on the ICNALE SD, the author sought to find out how fluently learners in different regions speak in the interviews, which words they characteristically use, and which relationship is observed among them.

As Provided

2021

EJ1284816