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All Journal Humaniora Litera Parole: Journal of Linguistics and Education Humanus: Jurnal ilmiah Ilmu-ilmu Humaniora Indonesian Journal of Applied Linguistics (IJAL) BAHASA DAN SASTRA Indonesian Journal of Integrated English Language Teaching Jurnal Arbitrer Celt: A Journal of Culture, English Language Teaching & Literature EDULITE: Journal of English Education, Literature and Culture IJIET (International Journal of Indonesian Education and Teaching) Journal of Language and Literature Eralingua : Jurnal Pendidikan Bahasa Asing dan Sastra Ranah: Jurnal Kajian Bahasa Journal of English Education and Teaching (JEET) Jurnal Eduscience (JES) JLA (Jurnal Lingua Applicata) ENGLISH FRANCA : Academic Journal of English Language and Education Jurnal Linguistik Terapan JURNAL ILMIAH GLOBAL EDUCATION Kajian Linguistik dan Sastra Borneo Journal of Language and Education LINGUISTS : JOURNAL OF LINGUISTICS AND LANGUAGE TEACHING Midwifery Journal
Prihantoro Prihantoro
English Department, Faculty Of Humanities, Diponegoro University, Indonesia
Religion Arts Humanities Education Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

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Journal : Jurnal Arbitrer

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DICO-JALF v.1.0: Diponegoro Corpus of Japanese Learners as a Foreign Language in Indonesia with AI Error Annotation and Human Supervision Prihantoro, Prihantoro; Ishikawa, Shin'Ichiro; Liu, Tanjun; Fadli, Zaki Ainul; Rini, Elizabeth Ika Hesti Aprilia Nindia; Kepirianto, Catur
Jurnal Arbitrer Vol. 12 No. 3 (2025)
Publisher : Masyarakat Linguistik Indonesia Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ar.12.3.274-288.2025

Abstract

There is a growing body of research in using AI for corrective feedback in foreign language teaching. However, few studies have specifically addressed the accuracy of AI analysis in learner corpus research. This study aims to create an AI-annotated corpus whose data were obtained from learners of Japanese as a Foreign Language (JFL) in Indonesia with human supervision; branded it as DICO-JALF v.1.0. The aim is to measure to what extent ChatGPT accurately annotates errors. A task was first administered to collect corpus data and metadata to build the corpus. The corpus was error-annotated using ChatGPT 4.0. Human annotators manually supervised the accuracy of AI-generated annotations. Regarding errors committed by learners, it is observed that incorrect lexical choices and forms dominate the cause of errors, while underuse and overuse are minimal. It can be concluded that ChatGPT demonstrated an average accuracy of 70% correct identification of errors. Regarding error rate, the verb is the category where errors are most frequent, which maybe driven by its conjugation, a feature absent in Indonesian, the L1 of the students. This suggests that Indonesian learners' acquisition of Japanese verbs needs greater emphasis. As compared to other similar studies, this is relatively low. However, it can be argued that one factor determining the accuracy of ChatGPT annotations, or any other LLM-based tool, is the complexity of the annotation scheme they adhere to. The corpus have been made available for download. The annotations shall be readable by a corpus query system that reads XML tags. This corpus serves as a foundational resource for future research on AI-assisted error analysis in JFL learning contexts in Indonesia.
Co-Authors Agus Sutopo, Agus Ahmad Bukhori Muslim Anggraeni, Mariah Anshori, Sakut Anwar, Miftahulkhaerah Arafah, Rifda Arnanda, Farenz Sukma Catur Kepirianto DESTI ARIANI Dharmayana, Wayan Durgayan, Alesa Eka Apriani, Eka Fathiaty Murtadho Ferizal Masra Gusmuliana, Paidi Hasana, Nurul Helmy, Helina Ishikawa, Shin'Ichiro Jefriyanto Saud Jumatul Hidayah, Jumatul Kusumawati, Citra Lasintia, Mifta Lestari, Tri Edliani Liu, Tanjun Mahriyuni Mahriyuni Miftahulkhairah Anwar Nanda Sholihah Obaid, Ahmed J. Oktavia, Nazlah Patil, Atul Bansilal Prianto, Nawan Rini, Elizabeth Ika Hesti Aprilia Nindia Sahila Rizqy, Muhammad Hifni sarwo edy Sianipar, Yules Orlando Sinar, T. Silvana Siregar, Erik D Sudarwan Danim Sugiarto, Rio Suherdi, Didi Sukma, Sukma Swetika, Amanda Widhi Tengku Silvana Sinar Usman, Sarip Yen Polisda, Yen Yusnidar, Lira Zainal Rafli, Zainal Zaki Ainul Fadli Zulfida, Sri Zulihi, Zulihi