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Showing 141 - 150 results of 231 for Speech Recognition

EFL students' self-directed learning of conversation skills with AI chatbots
...speech, (b) indicator, for example, a chatbot’s sign of trouble, (c) response, for example, a student’s corrected speech, and d) continuation, for example, a chatbot’s acceptance and follow-up speech...

by Sooyeon Kang, Min-Chang Sung
in Volume 28 Number 1, 2024

Review of Online Intercultural Exchanges: An Introduction for Foreign Language Teachers
...speech match one of Byram’s five ICC principles. In Chapter 8, Andreas Müller-Hartmann discusses the crucial and central role of teachers in telecollaborative projects, including tips on establish...

by Dawn Bikowski
in Volume 15 Number 1, February 2011 Special Issue: Multilateral Online Exchanges for Language and Culture Learning

Review of LearningBranch
...speech recognition (ASR) algorithm. The ASR works on the basis of a match between student audio input and the anticipated response which the lesson creator types in to guide the algorithm. Written i...

by Jack Burston
in Volume 23 Number 2, June 2019

Mobile-assisted language learning: A selected annotated bibliography of implementation studies 1994–2012
...speech feature to assist reading definitions, and a speech recognition system for pronunciation practice. ALEX© was well received by the learners. Munteanu, C., Molyneaux, H., McDonald, D., Lumsden...

by Jack Burston
in Volume 17 Number 3, October 2013 Special Issue on MALL

Second language writing online: An update
...recognition of writing as a social act has also led to a significant rise in interest in collaborative writing. This has been aided by the popularity of tools providing a shared writing space, such a...

by Robert Godwin-Jones
in Volume 22 Number 1, February 2018

Methodological innovation for the study of request production in telecollaboration
...speech and tends to isolate the speech act from the surrounding discourse using instruments such as discourse completion tasks. While some naturalistic speech contexts (e.g., academic advising sessi...

by Joseph D. Cunningham
in Volume 21 Number 1, February 2017 Special Issue on Methodological Innovation in CALL Research

Distributed agency in second language learning and teaching through generative AI
...recognition may have difficulty with dialects, accented speech, and regional variability (Ramesh et al., 2023). A researcher reported that in using a voice assistant she needed to anglicize the pron...

by Robert Godwin-Jones
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

The practices and challenges of telecollaboration in higher education in Europe
...speech and writing and image” (Hampel & Hauck, 2006, p. 12). The mediational role of technology is important and has an impact on interaction as participants orient to and engage with the technical...

by Francesca Helm
in Volume 19 Number 2, June 2015

Categorization of text chat communication between learners and native speakers of Japanese
...recognition of new word, misuse of word, pronunciation error, grammatical error, inappropriate segmentation, abbreviated sentence, sudden topic change, slow response, and inter-cultural communication ...

by Etsuko Toyoda, Richard Harrison
in Volume 06 Number 1, January 2002

Learning of L2 Japanese through video games
...Recognition of non-formal and informal learning pointers for policy development. https://www.oecd.org/education/skills-beyond-school/recognitionofnon-formalandinformallearning- home.htm Purushotma, ...

by Kayo Shintaku
in Volume 27 Number 1, 2023