Machine Translation and EFL Writing Development: A Focus on Complexity, Accuracy, and Fluency

• 발행기관: 한국사회언어학회
• 저자명: Taeyeon Kim Sun Mee Chang
• 간행물 정보: 『사회언어학』제32권 4호, 185~220쪽, 전체 36쪽
• 주제분류: 어문학 > 언어학
• 파일형태: PDF
• 발행일자: 2024.12.31

국문 초록

This study investigates the effect of machine translation (MT) use on the writing performance of Korean EFL students, focusing on complexity, accuracy, and fluency (CAF). Six participants completed a series of writing tasks in which they first translated their L1 writing into L2 manually and then used MT to revise their L2 drafts. This process was repeated across ten different writing topics. Participants’ drafts were analyzed using CAF measures to assess MT’s impact on their writing performance and observe changes over tasks. The results show that MT significantly improved accuracy and fluency. However, gains in syntactic and lexical complexity were less evident. While group-level analysis showed consistent progress, individual trajectories varied widely, indicating diverse patterns of development. Overall, the findings suggest that MT enhances writing accuracy and fluency among Korean EFL students, although its impact on syntactic and lexical complexity is limited. These results indicate that MT can serve as a valuable tool for self-directed learning, helping students independently improve their writing accuracy and fluency and develop essential self-editing skills. This study highlights the potential of MT as a supplementary tool to support EFL students’ writing development, along with traditional instruction.

목차

1. INTRODUCTION

2. REVIEW OF LITERATURE

3. METHODOLOGY

4. RESULTS

5. CONCLUSION

REFERENCES

키워드

machine translation complexity accuracy fluency EFL writing

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