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Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
Sungmook Choi – Language Learning & Technology, 2023
This study explored how visual input enhancement impacts caption-reading behaviors, the acquisition of English collocations, and the recall of onscreen captions. The participants comprised 53 Korean undergraduate students at a high-intermediate level of English proficiency. They were assigned to either a baseline or an enhancement group. The…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Captions
van Lieshout, Catharina; Cardoso, Walcir – Language Learning & Technology, 2022
This study examined the pedagogical use of Google Translate (GT) and its associated text-to-speech synthesis (TTS) and automatic speech recognition (ASR) as tools to assist in the learning of second/foreign language Dutch vocabulary and pronunciation in an autonomous, self-directed learning setting. Thirty participants used GT (its translation,…
Descriptors: Translation, Computational Linguistics, Independent Study, Vocabulary Skills
Wu, Yi-ju – Language Learning & Technology, 2021
Adopting the approaches of "pattern hunting" and "pattern refining" (Kennedy & Miceli, 2001, 2010, 2017), this study investigates how seven freshman English students from Taiwan used the Corpus of Contemporary American English to discover collocation patterns for 30 near-synonymous change-of-state verbs and new ideas about…
Descriptors: Phrase Structure, Teaching Methods, Second Language Learning, Second Language Instruction
François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
Lay, Keith J.; Yavuz, Mehmet A. – Language Learning & Technology, 2020
This study investigates the possibility and efficacy of paper-based, in-class, data-driven learning (DDL) of academic lexical bundles below the C1 level of proficiency described by the Common European Framework of Reference (CEFR; advanced high ACTFL). A two-stage experimental design involving three groups (n = 41) and 24 two-to-four word academic…
Descriptors: Language Proficiency, Rating Scales, Guidelines, Second Language Learning
Ackerley, Katherine – Language Learning & Technology, 2017
This study analyses the effects of data-driven learning (DDL) on the phraseology used by 223 English students at an Italian university. The students studied the genre of opinion survey reports through paper-based and hands-on exploration of a reference corpus. They then wrote their own report and a learner corpus of these texts was compiled. A…
Descriptors: Phrase Structure, Computational Linguistics, English (Second Language), Second Language Learning
Godwin-Jones, Robert – Language Learning & Technology, 2017
Although data collection has been used in language learning settings for some time, it is only in recent decades that large corpora have become available, along with efficient tools for their use. Advances in natural language processing (NLP) have enabled rich tagging and annotation of corpus data, essential for their effective use in language…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Phrase Structure
Ziegler, Nicole – Language Learning & Technology, 2018
Research suggests that pre-task planning time provides learners with opportunities to formulate, organize, and mentally store content, thereby freeing up attentional resources during tasks (Skehan, Xiaoyue, Qian, & Wang, 2012). However, relatively few studies to date have investigated pre-task planning in a synchronous computer-mediated…
Descriptors: Second Language Learning, Second Language Instruction, Accuracy, Language Fluency
Li, Shuangling – Language Learning & Technology, 2017
This article investigates the role of direct corpus use in learners' collocational competence in academic writing. An experiment was conducted between two groups of Chinese postgraduates who had no previous knowledge of corpora. It was embedded in a regular 4-month linguistics course in the students' programmes, where a corpus-assisted method was…
Descriptors: Phrase Structure, Computational Linguistics, Accuracy, Graduate Students
Ranalli, Jim – Language Learning & Technology, 2013
This paper explores the feasibility of an automated, online form of L2 strategy instruction (SI) as an alternative to conventional, classroom-based forms that rely primarily on teachers. Feasibility was evaluated by studying the effectiveness, both actual and perceived, of a five-week, online SI course designed to teach web-based dictionary skills…
Descriptors: Dictionaries, Internet, Feedback (Response), English (Second Language)
Chen, Yu-Hua; Baker, Paul – Language Learning & Technology, 2010
This paper adopts an automated frequency-driven approach to identify frequently-used word combinations (i.e., "lexical bundles") in academic writing. Lexical bundles retrieved from one corpus of published academic texts and two corpora of student academic writing (one L1, the other L2), were investigated both quantitatively and qualitatively.…
Descriptors: Writing (Composition), Academic Discourse, Second Language Learning, Second Language Instruction