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Research Article: Special Section

Automating Learner Corpora Development : Evaluating ASR Systems for L2 English Transcription

첫 페이지 보기
  • 발행기관
    아시아영어교육학회 바로가기
  • 간행물
    The Journal of AsiaTEFL SCOPUS KCI 등재 바로가기
  • 통권
    Vol.23 No.2 (2026.06)바로가기
  • 페이지
    pp.449-473
  • 저자
    Chihkai Lin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486780

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원문정보

초록

영어
This study evaluates whether automatic speech recognition (ASR) systems can support scalable spoken learner corpus development without compromising the analytical rigor required in second language acquisition research. Using recordings from 60 Taiwanese learners of English at A2–B1 proficiency levels, this study compares three ASR platforms—Microsoft 365 Word, OpenAI Whisper, and Vocol.ai—across 1,200 elicited sentences and 60 weather-broadcast tasks. Transcriptions are assessed for lexical accuracy, sentence segmentation, and semantic coherence using multiple AI-based evaluators. Results show substantial variation across systems: Microsoft 365 Word frequently produced distorted or implausible lexical substitutions; Whisper maintained overall meaning but introduced systematic tense changes; and Vocol.ai provided the highest fidelity, preserving both lexical and structural details. No system generated error-free output, particularly with L2-specific pronunciation patterns. A threephase validation framework is proposed to ensure transcription reliability. The findings demonstrate that ASR can enhance corpus creation only when embedded within rigorous, multi-step validation procedures.

목차

Abstract
Introduction
ASR Technology and L2 Speech Processing
Methodological Frameworks for ASR-Assisted Corpus Development
Research Gap and Research Questions
Method
Data Collection and Participant Selection
Transcription Protocols and Analytical Framework
Results
Lexical Density and Syntactic Segmentation Performance
Semantic Coherence Assessment
Discussion
Inconsistent Transcription Performance Across ASR Systems
Insights for L2 Speech Corpus Establishment
Conclusion
Summary of Key Findings
Implications and Future Directions
The Authors
References
Appendices

키워드

Automatic speech recognition (ASR) learner corpus development L2 speech transcription interlanguage phonology

저자

  • Chihkai Lin [ National Taiwan University of Science and Technology ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    아시아영어교육학회 [Asia TEFL]
  • 설립연도
    2004
  • 분야
    사회과학>교육학
  • 소개
    The goals of Asia TEFL are to promote scholarship, disseminate information, and facilitate cross-cultural understanding among persons concerned with the teaching and learning of English in Asia. In order to accomplish this, Asia TEFL will pursue the following goals: 1. To link ELT professionals in joint research on issues and concerns regarding English teaching and learning in the Asian context. 2. To publish an academic journal, The Asia TEFL Journal, as an internationally recognized journal in the field of English language teaching. 3. To host conferences and seminars addressing important issues concerning ELT in Asia. 4. To develop proficiency guidelines and assessment methods designed for the needs of the Asian context. 5. To develop programs for Asian learners and teachers of English to build their English language proficiency and cultural understanding and provide them with the skills required to be efficient English teaching professionals.

간행물

  • 간행물명
    The Journal of AsiaTEFL
  • 간기
    계간
  • pISSN
    1738-3102
  • eISSN
    2466-1511
  • 수록기간
    2004~2026
  • 등재여부
    SCOPUS,KCI 등재
  • 십진분류
    KDC 740 DDC 420

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