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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
Chen, Hao-Jan Howard; Lai, Shu-Li; Lee, Ken-Yi; Yang, Christine Ting-Yu – Computer Assisted Language Learning, 2023
Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…
Descriptors: Academic Language, English for Academic Purposes, Phrase Structure, Computational Linguistics
Shadiev, Rustam; Yang, Meng-ke; Reynolds, Barry Lee; Hwang, Wu-Yuin – Computer Assisted Language Learning, 2022
In this study, the participants learned English as a foreign language (EFL) in the classroom and then worked on five learning tasks to apply their newly learned knowledge to unfamiliar environments. The participants took photos of people, objects, situations or scenarios and described them in detail using a mobile learning system. Familiarization…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Lin, Vivien; Barrett, Neil E.; Liu, Gi-Zen; Chen, Nian-Shing; Jong, Morris Siu-Yung – Computer Assisted Language Learning, 2023
The field of language education has experienced a rise in using virtual reality (VR) to support interactive, contextualized, and collaborative language learning in recent years. The current study investigates the effects of auditory, visual, and textual input on speaking and writing in English for Tourism Purposes (ETP) through immersive,…
Descriptors: Tourism, English for Special Purposes, Undergraduate Students, Computer Simulation
Kennedy, Claire; Miceli, Tiziana – Computer Assisted Language Learning, 2017
While there is widespread agreement on the expected benefits of hands-on access to corpora for language learners, reports abound of the difficulties involved in realising those benefits in practice. A particular focus of discussion is the challenge of transferring the skills of the corpus linguist to learners, so that they can explore this type of…
Descriptors: Computational Linguistics, Teaching Methods, Second Language Learning, Second Language Instruction
Harvey-Scholes, Calum – Computer Assisted Language Learning, 2018
Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Daskalovska, Nina – Computer Assisted Language Learning, 2015
One of the aspects of knowing a word is the knowledge of which words it is usually used with. Since knowledge of collocations is essential for appropriate and fluent use of language, learning collocations should have a central place in the study of vocabulary. There are different opinions about the best ways of learning collocations. This study…
Descriptors: Computational Linguistics, Phrase Structure, Verbs, Form Classes (Languages)
Rezaee, Abbas Ali; Marefat, Hamideh; Saeedakhtar, Afsaneh – Computer Assisted Language Learning, 2015
Collocational competence is recognized to be integral to native-like L2 performance, and concordancing can be of assistance in gaining this competence. This study reports on an investigation into the effect of symmetrical and asymmetrical scaffolding on the collocational competence of Iranian intermediate learners of English in the context of…
Descriptors: Computational Linguistics, Phrase Structure, Scaffolding (Teaching Technique), Foreign Countries
Geluso, Joe – Computer Assisted Language Learning, 2013
Usage-based theories of language learning suggest that native speakers of a language are acutely aware of formulaic language due in large part to frequency effects. Corpora and data-driven learning can offer useful insights into frequent patterns of naturally occurring language to second/foreign language learners who, unlike native speakers, are…
Descriptors: Native Speakers, English (Second Language), Search Engines, Second Language Learning
Lai, Shu-Li; Chen, Hao-Jan Howard – Computer Assisted Language Learning, 2015
A number of studies have suggested the possible benefits of using concordancers in English as a Foreign Language (EFL) writing. To date, however, there is still limited understanding of how EFL writers may make use of such tools along with dictionaries when engaging in a writing task. To better understand the question, this study investigated a…
Descriptors: Dictionaries, Indexes, English (Second Language), Second Language Learning
Chen, Hao-Jan Howard – Computer Assisted Language Learning, 2011
The development of adequate collocational knowledge is important for foreign language learners; nonetheless, learners often have difficulties in producing proper collocations in the target language. Among the various ways of learning collocations, the DDL (data-driven learning) approach encourages independent learning of collocations and allows…
Descriptors: Independent Study, Foreign Countries, Second Language Learning, Phrase Structure
Sha, Guoquan – Computer Assisted Language Learning, 2010
Data-driven learning (DDL), or corpus-based language learning, involves the learner in an exploratory task to discover appropriate expressions or collocates regarding his writing. However, the problematic units of meaning in each learner's writing are so diverse that conventional corpora often prove futile. The search engine Google with the…
Descriptors: Written Language, Search Engines, Second Language Learning, Computational Linguistics
Romeo, Kenneth – Computer Assisted Language Learning, 2008
This paper addresses the comprehension of relative clauses in audio prompts using online listening exercises implemented in a classroom. Reaction time to short and long sentences containing subject and object relative clauses was assessed in subjects attending an intensive ESL course for graduate students. The results indicate the possibility that…
Descriptors: Graduate Students, Sentences, Reaction Time, English (Second Language)