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All Journal IZUMI Jurnal Arbitrer Kiryoku: Jurnal Studi Kejepangan HARMONI
Elizabeth Ika Hesti Aprilia Nindia Rini
Japanese Language And Culture Departement, Faculty Of Humanities, Diponegoro University
Languange, Linguistic, Communication & Media Other

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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; Shin'Ichiro Ishikawa; Tanjun Liu; Zaki Ainul Fadli; Elizabeth Ika Hesti Aprilia Nindia Rini; Catur Kepirianto
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.
Penerjemahan Istilah Ekologi Bahasa Jepang ke Bahasa Indonesia dalam Kumpulan Cerpen Miyazawa Kenji Elizabeth Ika Hesti Aprilia Nindia Rini; Dewi Kusmiati
IZUMI Vol 11, No 2 (2022)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/izumi.11.2.104-112

Abstract

<em>This paper discusses the translation of Japanese ecological terms into Indonesian. The objective of this research is to describe the technique of translating ecological terms in the source text to the target text and its equivalence. The data in this study was obtained from the collection of short stories Kaze no Matasaburo and Guskobudori no Denki by Miyazawa Kenji as well as its translations in Indonesian by Unpad Press. The data was collected using the literature study method with note-taking techniques. Furthermore, the data were analyzed using the padan method with the basic technique of sorting the determining element (PUP) then continued with the hubung banding technique. The results of data analysis are presented by informal methods. Based on the results of the analysis, translation techniques used in this collection of short stories are, (a) borrowing, (b) calque, (c) transposition, (d) modulation, (e) equivalence, (f) adaptation, (g) borrowing and transposition, (h) modulation and equivalence, and (i) borrowing, transposition, and modulation.</em> <a href="https://gb777info.com">gb777</a><a href="https://pajak.blitarkota.go.id/uploads/profile/">gb777</a><a href="https://baak.uika-bogor.ac.id/uploads/">slot gacor</a><a href="https://siadmin.baak.uika-bogor.ac.id/files/images/">gb777</a><a href="https://jdih.dprd-pemalangkab.go.id/">gb777</a><a href="https://disnakertrans.bungokab.go.id/">GB777</a><a href="https://jdih.bungokab.go.id/">GB777</a>slot gacorslot gacor
Verba Majemuk ~Nukeru dalam Bahasa Jepang Elizabeth Ika Hesti Aprilia Nindia Rini; Daniel Andre Sinaga
IZUMI Vol 11, No 1 (2022)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/izumi.11.1.20-30

Abstract

<p><em>This paper discusses  “Compound Verb ~Nukeru in Japanese Sentences”. The objective of this research is to describe the structure and the meaning of Japanese compound verb ~nukeru. The data taken from electronic mass media, electronic articles and, Japanese language websites. Listening method with the tapping technique as the basic technique and the free-of-conversation listening technique (SBLC) and the note-taking technique as the continuation technique are used in providing the required data. Furthermore, analysis of the structure and meaning of the compound verb ~nukeru are carried out using the agih method with the direct element division (BUL) technique and the top down technique. The presentation of the results of data analysis are carried out using an informal method.. Based on the data analysis, it is concluded that the compound verb ~nukeru is formed from various pre-verbs (V1) and back-verb; nukeru (V2). Furthermore, the compound verb ~nukeru can be attached to intransitive and transitive, progressive, and stative, volitional and non volitional  and motion verbs. The compound verb ~nukeru has 8 meanings, they are penetration, breakthrough/breakout in a fight/game/match, breakthrough/penetration of space, the process of passing from a space, crossing; shortcut; pass; through, excellence; quality; prominence; superiority, renunciation; dismantlement; withdrawal; secession; leave, and sold out in high prices. Meanwhile, the meaning relationship between the pre-verb (V1) and the back-verb (V2); nukeru consists of hobun kankei or complementary relationships, shuushoku-hishuushoku kankei (prefix affixation of verbs), shujutsu-hosoku kankei, and jukugou fukugoudoushi.</em></p> <a href="https://gb777info.com">gb777</a><a href="https://pajak.blitarkota.go.id/uploads/profile/">gb777</a><a href="https://baak.uika-bogor.ac.id/uploads/">slot gacor</a><a href="https://siadmin.baak.uika-bogor.ac.id/files/images/">gb777</a><a href="https://jdih.dprd-pemalangkab.go.id/">gb777</a><a href="https://disnakertrans.bungokab.go.id/">GB777</a><a href="https://jdih.bungokab.go.id/">GB777</a>slot gacorslot gacor
Co-Authors Aldhimas Kurnia Widianto Alif Prasetyaningtyas Catur Kepirianto D. Krisna Putra Daniel Andre Sinaga Dewi Kusmiati Ittaqy Tafuzy Nurul Aini Prihantoro Prihantoro Shin'Ichiro Ishikawa Tanjun Liu Vita Rahmadanti Yuliani Rahmah Yuliani Rahmah Zaki Ainul Fadli