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Misato Hiraga – ProQuest LLC, 2024
This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…
Descriptors: Japanese, Computational Linguistics, Form Classes (Languages), Error Analysis (Language)
Uygun, Serkan; Schwarz, Lara; Clahsen, Harald – Second Language Research, 2023
Heritage speakers (HS) have been shown to experience difficulties with inflectional morphology (particularly with irregular morphology) and to frequently overapply regular morphology. The present study seeks to get further insight into the inflectional processes of HS by investigating how these are generalized to nonce words in language…
Descriptors: Morphology (Languages), Turkish, Monolingualism, Second Language Learning
Ming Chen; Yongbing Liu – Asia Pacific Journal of Education, 2025
This corpus-based study investigates lexical richness in English writing by Chinese senior high school students. Lexical uses in 303 compositions were compared across three grades in terms of lexical sophistication, variation, density and errors. Timed compositions were sampled from Writing Corpus of English Learners, and the sample sizes of three…
Descriptors: Writing Instruction, High School Students, Connected Discourse, Foreign Countries
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
Yuki Takahashi; Narathip Thumawongsa – rEFLections, 2024
In recent years, the shift in the teaching approaches employed in Thai English as a Foreign Language (EFL) classroom provides new opportunities and challenges to the teachers and students form Generation Z (1995-2009) and Generation Alpha (2010-2024). This study examines verb errors among Thai EFL learners from Generation Z and Generation Alpha to…
Descriptors: Age Groups, English (Second Language), Second Language Instruction, Second Language Learning
Chun, Jihye; Kim, Mi Hyun – Asian-Pacific Journal of Second and Foreign Language Education, 2021
This study aims to demonstrate the need for learner-corpus-informed applications and proposes methods of application that promote the proper use of Korean topic and nominative markers. This study extracted 3004 pieces of error from the error-annotated corpus of the "Korean Learners' Corpus," the largest Korean learner corpus to date. A…
Descriptors: Computational Linguistics, Korean, Second Language Learning, Error Analysis (Language)
Al-Jarf, Reima – Online Submission, 2022
Freshman students at the College of Languages and Translation received direct instruction in plural formation. Instruction covered regular plural nouns, irregular plural nouns, plural formation of words ending in -f, and -o, nouns that have the same plural and singular form, and words with Latin and foreign plurals. The students did all the…
Descriptors: Difficulty Level, Learning Processes, Second Language Learning, Second Language Instruction
Natalie G. Koval – Language Acquisition: A Journal of Developmental Linguistics, 2025
Research utilizing morphological priming has found that L2 speakers show facilitation from derived L2 primes, which could suggest morphological processing during derived L2 word recognition. However, the process of L2 derived word recognition is still poorly understood, with some arguing that the observed priming effects may not be morphological…
Descriptors: English (Second Language), Second Language Learning, Word Recognition, Native Language
Loboda, Krzysztof; Mastela, Olga – Interpreter and Translator Trainer, 2023
Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…
Descriptors: Computer Software, Computational Linguistics, Polish, Folk Culture
Tran Ngoc Quynh Phuong; Bao Trang Thi Nguyen; Thi Linh Giang Hoang; Vu Quynh Nhu Nguyen; Le Hoang Phuong Ngo – Taiwan Journal of TESOL, 2024
This article examines the use of prompt-based lexical collocations in opinion essays by Vietnamese English as a foreign language (EFL) students. Fifty second-year English majors at a Vietnamese university wrote 100 opinion essays on two topics as progress tests. The AntConc programme (Anthony, 2020) was employed to identify the frequencies of use…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Sudatip Prapunta – MEXTESOL Journal, 2025
This research study aims to explore students' perceptions and reflections on the effectiveness of project-based learning (PBL) in a Thai-English translation course in the EFL context. The participants of this study included forty-nine students who were enrolled in the Thai-English translation course. The participants were asked to produce a…
Descriptors: Student Projects, Second Language Learning, Second Language Instruction, English (Second Language)
Chutinan Noobutra – LEARN Journal: Language Education and Acquisition Research Network, 2024
The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…
Descriptors: Error Correction, Native Language, Second Language Learning, Second Language Instruction
Ritonga, Mahyudin; Zulmuqim, Zulmuqim; Bambang, Bambang; Kurniawan, Rahadian; Pahri, Pahri – World Journal on Educational Technology: Current Issues, 2022
Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic…
Descriptors: Arabic, Error Correction, Video Technology, Speech Communication
Meknakha, Hataimart; Timyam, Napasri – LEARN Journal: Language Education and Acquisition Research Network, 2023
Previous research in English as a Lingua Franca (ELF) has revealed that deviations in lexicogrammar are not always random, but a result of underlying communicative processes (Cogo & Dewey, 2012; Guziurová, 2020; Jafari, 2021; Ranta, 2013, 2022). Most previous studies relied upon spoken interactions, particularly in business and academic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries