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Towards Automatic Question Generation Using Pre-Trained Model in Academic Field for Bahasa Indonesia
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Ann Margareth; Moch. Sukardjo; Robinson Situmorang – LEARN Journal: Language Education and Acquisition Research Network, 2025
This paper analyses the relationship between translational technology and learning outcomes and investigates the type of translational technology most beneficial towards students' translations of legal texts. This study tests whether differences were found in the learning outcomes of legal text translation for students with high and low placement…
Descriptors: Laws, Translation, Indonesian, Language Processing
Andi Indah Yulianti; Dwiani Septiana; Firman A. D.; Musayyedah; Abd. Rasyid; Ai Kurniati – Eurasian Journal of Applied Linguistics, 2024
This paper presents a brief morphological description of the affixation processes in the Dayak Bentian Language (DBL), a minority language at risk of extinction in East Kalimantan, Indonesia. To this end, the paper explores the affixation processes, including the form, function, and meaning of affixes and their morphophonemic processes. The data…
Descriptors: Morphology (Languages), Morphemes, Computational Linguistics, Computer Software
Humairah Fauziah; Yazid Basthomi; Nurenzia Yannuar – TESL-EJ, 2025
Concordancer tools have been used to help students learn aspects of written English by engaging them to access, examine, and analyze language examples in a corpus. Nonetheless, their efficacy remains uncertain when compared to other tools. This study compared a concordancer tool to Grammarly, QuillBot, Google search, online dictionaries, and…
Descriptors: Indexes, Computational Linguistics, English (Second Language), Second Language Learning
Parlindungan Pardede; Ninuk Lustyantie; Ifan Iskandar – Journal of English Teaching, 2023
Over the last decades, applied linguistics and language teaching/learning have investigated language errors committed by learners for both diagnostic and prognostic purposes. Initially, error analysis was conducted manually and involved a limited number of corpus. However, computer software advancement has facilitated much larger amounts of data…
Descriptors: Error Analysis (Language), English (Second Language), Second Language Learning, Second Language Instruction
Aldha Williyan; Sri Wuli Fitriati; Hendi Pratama; Zulfa Sakhiyya – Teaching English with Technology, 2024
This research explores the collaboration between Indonesian English as a Foreign Language (EFL) educators and Artificial Intelligence (AI) in content development. Employing a qualitative approach, semi-structured interviews were conducted to delve into the perspectives, experiences, and interactions of educators in the realm of AI-enhanced content…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Kharis, M.; Kisyani; Suhartono; Yuniseffendri – Journal of Language and Linguistic Studies, 2021
This study aims to evaluate Takarir as the product of the research development reviewed from the look and the results of its translation. This is a qualitative descriptive type of research. Data are obtained from students of German learners who understand translation theory and have the skills of the German language at least B1 level standards the…
Descriptors: Multilingualism, Translation, German, Second Language Learning
Winiharti, Menik; Syihabuddin; Sudana, Dadang – Journal of Language and Linguistic Studies, 2021
The work of translation seems to be much easier with the assistance of web-based Machine Translation such as Google Translate. Does it work well? This study aims at finding how Google translates academic texts from Indonesian into English. It is also to find the extent to which Google Translate accurately and naturally transfers such texts. The…
Descriptors: Translation, Computer Software, Computational Linguistics, Majors (Students)
Rudy, Muhammad; Kristina, Diah; Tarjana, Sri Samiati – International Online Journal of Education and Teaching, 2019
English for Specific Purposes (ESP) teaching urges the students to have a deep understanding of specific vocabularies. Specifically, in medical English class, spoken diagnosis explanation involves specific vocabularies. This corpus study was aimed to reflect the students' achievement of spoken vocabulary during speaking practice on explaining the…
Descriptors: Speech Communication, Medical Students, Medical Education, English for Special Purposes
Simbuka, Srifani; Hamied, Fuad A.; Sundayana, Wachyu; Kwary, Deny A. – TEFLIN Journal: A publication on the teaching and learning of English, 2019
This paper charts the construction of a technical vocabulary list called the Islamic Religious Studies Textbooks Vocabulary (IRSTV) which was developed from the Corpus of Islamic religious studies textbooks (CIRST) in an Indonesian Islamic State Institute (IISI). The study is aimed to meet the need of first-year English language learners studying…
Descriptors: Islam, Religious Education, Vocabulary, Word Lists
Prihantoro – TEFLIN Journal: A publication on the teaching and learning of English, 2016
Academic writing requires both style and grammatical correctness; however, efforts in improving the quality of English academic writing by non-native students have been focused on grammar. Structures observed in this study were grammatically correct, but considered unnatural in academic writing genre. This research involves a group of non-native…
Descriptors: English (Second Language), Second Language Learning, Computational Linguistics, North American English