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Mueller, Charles M. – Second Language Research, 2018
Various explanations have been put forth for the asymmetrical acquisition of tense and aspect morphology across categories of lexical aspect. This experiment tested the adequacy of a subset of such accounts by examining English native speakers' (n = 40) use of progressive and past tense morphology within activity and accomplishment verb frames…
Descriptors: Morphemes, Artificial Languages, English, Native Speakers
Zhe, Li; Meng, Cheng; Takanori, Maesako; Juan, Li – International Journal of Distance Education Technologies, 2018
This article describes the design and application of a computer-based system for simultaneously teaching Korean, English and Japanese languages in a classroom setting using knowledge visualization techniques to show the relationships between vocabularies, grammars and meanings. The system consists of a knowledge database of Korean, English, and…
Descriptors: Multilingualism, Native Speakers, Blended Learning, Teacher Student Relationship
Culbertson, Gabriel Rubow – ProQuest LLC, 2018
Many people want to learn a foreign language, but issues of time, convenience and cost mean that classes are often insufficient for learners, and increasingly learners are supplementing or replacing their classroom learning with online learning. The majority of existing online language learning systems use the traditional grammar-translation…
Descriptors: Second Language Learning, Second Language Instruction, Online Courses, Computer Assisted Instruction
Beuls, Katrien – Computer Assisted Language Learning, 2014
Construction grammar (CG) has been proposed as an adequate grammatical formalism for building intelligent language tutoring systems because it is highly compatible with the learning strategies observed in second language learning. Unfortunately, the lack of computational CG implementations has made it impossible in the past to corroborate these…
Descriptors: Error Analysis (Language), Grammar, Second Language Learning, Spanish
Cowan, Ron; Choo, Jinhee; Lee, Gabseon Sunny – Language Learning & Technology, 2014
This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Stringer, David; Burghardt, Beatrix; Seo, Hyun-Kyoung; Wang, Yi-Ting – Second Language Research, 2011
There has been considerable progress in second language (L2) research at the syntax-semantics interface addressing how syntax can inform phrasal semantics, in terms of interpretive correlates of word order (Slabakova, 2008). This article provides evidence of a flow of information ostensibly in the opposite direction, from meaning to grammar, at…
Descriptors: Semantics, Syntax, Second Language Learning, Word Order
Xu, Jing; Bull, Susan – Computer Assisted Language Learning, 2010
Despite holding advanced language qualifications, many overseas students studying at English-speaking universities still have difficulties in formulating grammatically correct sentences. This article introduces an "independent open learner model" for advanced second language speakers of English, which confronts students with the state of their…
Descriptors: Feedback (Response), Sentences, Computer Assisted Instruction, Metalinguistics
Sachs, Rebecca Raewyn – ProQuest LLC, 2011
Second language acquisition research into the effects of corrective feedback has investigated a variety of learning targets using a wide range of implicit and explicit feedback types (Li, 2010). To date, however, its linguistic focus has been limited to theoretically noticeable surface features (Carroll, 2001; Schmidt, 2001), and researchers have…
Descriptors: Feedback (Response), Individual Differences, Second Language Learning, Error Correction
Chodorow, Martin; Gamon, Michael; Tetreault, Joel – Language Testing, 2010
In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions. Criterion[superscript SM], developed by Educational Testing Service, and "ESL Assistant", developed by Microsoft Research, both use machine learning techniques to build models of article…
Descriptors: Grammar, Feedback (Response), Form Classes (Languages), Second Language Learning
Sauro, Shannon – Language Learning & Technology, 2009
This paper reports on a study that investigated the impact of two types of computer-mediated corrective feedback on the development of adult learners' L2 knowledge: (1) corrective feedback that reformulates the error in the form of recasts, and (2) corrective feedback that supplies the learner with metalinguistic information about the nature of…
Descriptors: Feedback (Response), Error Correction, Computer Assisted Instruction, Second Language Learning
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers