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Showing 1 to 15 of 39 results Save | Export
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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
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Green, Clarence – Language Learning & Technology, 2022
This paper computes estimates of the potential for Extensive Reading (ER) and Extensive Viewing (EV) to support the academic and discipline-specific vocabulary needs of students. While research into ER/EV for general vocabulary is well-established, only recently has academic vocabulary begun to be researched. Given curriculum time constraints,…
Descriptors: Linguistic Input, Vocabulary Development, Academic Language, Incidental Learning
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Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
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Godwin-Jones, Robert – Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…
Descriptors: Writing Instruction, Artificial Intelligence, Feedback (Response), Writing Evaluation
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Fievez, Isabeau; Perez, Maribel Montero; Cornillie, Frederik; Desmet, Piet – Language Learning & Technology, 2023
This study investigates how learners use a freely available web-based multimodal language learning environment based on videos and newspaper articles with corresponding exercises and learning support in the form of help options, "NedBox," for learning L2 Dutch. In order to measure learners' use, a combination of eye movement and screen…
Descriptors: Eye Movements, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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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
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Scheffler, Pawel; Baranowska, Karolina – Language Learning & Technology, 2023
While there is ample research on the effect of exposure to foreign language (FL) video materials on developing vocabulary knowledge and listening skills, research on the impact of watching videos on acquiring pronunciation skills, especially in terms of both perception and production, is still in its infancy. This study investigates the effect of…
Descriptors: Second Language Learning, Second Language Instruction, Learning Processes, Pronunciation
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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
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Zhang, Hong; Torres-Hostench, Olga – Language Learning & Technology, 2022
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction
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Qian, Manman; Chukharev-Hudilainen, Evgeny; Levis, John – Language Learning & Technology, 2018
Many types of L2 phonological perception are often difficult to acquire without instruction. These difficulties with perception may also be related to intelligibility in production. Instruction on perception contrasts is more likely to be successful with the use of phonetically variable input made available through computer-assisted pronunciation…
Descriptors: Second Language Learning, Phonology, Auditory Perception, Second Language Instruction
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Godwin-Jones, Robert – Language Learning & Technology, 2021
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…
Descriptors: Data Collection, Academic Achievement, Learning Analytics, Computer Assisted Instruction
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González-Lloret, Marta – Language Learning & Technology, 2021
In order to develop pragmatic competence in a language other than our own (L2), it is important to have enough knowledge of the cultural norms of the target language and enough opportunities to interact with a wide range of speakers to deploy different speech acts, registers, levels of politeness, conversational moves, and the like. The…
Descriptors: Pragmatics, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Bardovi-Harlig, Kathleen; Mossman, Sabrina; Su, Yunwen – Language Learning & Technology, 2017
This study compares the effect of using corpus-based materials and activities for the instruction of pragmatic routines under two conditions: implementing direct corpus searches by learners during classroom instruction and working with teacher-developed corpus-based materials. The outcome is compared to a repeated-test control group. Pragmatic…
Descriptors: Computational Linguistics, Pragmatics, Control Groups, Comparative Analysis
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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
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Arndt, Henriette L.; Woore, Robert – Language Learning & Technology, 2018
This study compared second language vocabulary acquisition from engagement with two different online media: written blog posts and video blogs. It also explored whether there were differences between which aspects of vocabulary knowledge (i.e., orthography, semantics, and grammatical function) were best learned from these media. The results showed…
Descriptors: Vocabulary Development, Electronic Publishing, Second Language Learning, Second Language Instruction
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