A system for adaptive high-variability segmental perceptual training: Implementation, effectiveness, transfer

dc.contributor.authorQian, Manman
dc.contributor.authorChukharev-Hudilainen, Evgeny
dc.contributor.authorLevis, John
dc.date.accessioned2018-01-31T19:18:12Z
dc.date.available2018-01-31T19:18:12Z
dc.date.issued2018-02-01
dc.description.abstractMany 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 training. However, few computer-assisted programs have demonstrated flexibility in diagnosing and treating individual learner problems or have made effective use of linguistic resources such as corpora for creating training materials. This study introduces a system for segmental perceptual training that uses a computational approach to perception utilizing corpus-based word frequency lists, high variability phonetic input, and text-to-speech technology to automatically create discrimination and identification perception exercises customized for individual learners. The effectiveness of the system is evaluated in an experiment with pre- and post-test design, involving 32 adult Russian-speaking learners of English as a foreign language. The participants’ perceptual gains were found to transfer to novel voices, but not to untrained words. Potential factors underlying the absence of word-level transfer are discussed. The results of the training model provide an example for replication in language teaching and research settings.
dc.identifier.citationQian, M., Chukharev-Hudilainen, E., & Levis, J. (2018). A system for adaptive high-variability segmental perceptual training: implementation, effectiveness, transfer. Language Learning & Technology, 22(1), 69–96. https://dx.doi.org/10125/44582
dc.identifier.issn1094-3501
dc.identifier.issn1094-3501
dc.identifier.urihttp://hdl.handle.net/10125/44582
dc.publisherUniversity of Hawaii National Foreign Language Resource Center
dc.publisherMichigan State University Center for Language Education and Research
dc.subjectComputer-Assisted Language Learning
dc.subjectPronunciation
dc.subjectSecond Language Acquisition
dc.subjectPerception
dc.titleA system for adaptive high-variability segmental perceptual training: Implementation, effectiveness, transfer
dc.typeArticle
dc.type.dcmiText
prism.endingpage96
prism.number1
prism.publicationnameLanguage Learning & Technology
prism.startingpage69
prism.volume22

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