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Galip Kartal – Computer Assisted Language Learning, 2024
The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…
Descriptors: Computer Software, English (Second Language), Second Language Instruction, Second Language Learning
Sürüç Sen, Nur – Journal of Language and Linguistic Studies, 2021
When it comes to paying attention to the suprasegmental features of their speech, most learners of English seem to be unaware that such phenomena as stress, pitch, duration, and pausing can be of great importance regarding mutual intelligibility. Since they carry a considerable weight of establishing an intelligible conversation, it is argued that…
Descriptors: Intonation, Language Rhythm, Suprasegmentals, Turkish
Teeranon, Phanintra – Asian Journal of Education and Training, 2020
This research analyzes the acoustic characteristics and conducts a perception test of Thai tones produced by Chinese learners learning Thai through the "Thai Tone Application". A comparison of Thai tones pronounced by 40 Chinese learners learning Thai at Nakhon Ratchasima Rajabhat University with 40 Thai native speakers was also…
Descriptors: Acoustics, Auditory Perception, Language Tests, Thai
Frost, Wende – ProQuest LLC, 2013
The speech of non-native (L2) speakers of a language contains phonological rules that differentiate them from native speakers. These phonological rules characterize or distinguish accents in an L2. The Shibboleth program creates combinatorial rule-sets to describe the phonological pattern of these accents and classifies L2 speakers into their…
Descriptors: Second Language Learning, Pronunciation, Phonology, Native Speakers
Alsabaan, Majed; Ramsay, Allan – Research-publishing.net, 2014
Our proposed work is aimed at teaching non-native Arabic speakers how to improve their pronunciation. This paper reports on a diagnostic tool for helping non-native speakers of Arabic improve their pronunciation, particularly of words involving sounds that are not distinguished in their native languages. The tool involves the implementation of…
Descriptors: Semitic Languages, Second Language Learning, Second Language Instruction, Feedback (Response)
Ashwell, Tim; Elam, Jesse R. – JALT CALL Journal, 2017
The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
Lawson, Alistair; Attridge, Ann; Lapok, Paul – Research-publishing.net, 2014
Many students of English language find pronunciation difficult to master. This work in progress paper discusses an incremental and iterative approach towards developing requirements for software applications to assist learners with the perception and production of English pronunciation in terms of phonemes and prosody. It was found that prompts…
Descriptors: Intonation, Second Language Learning, Second Language Instruction, Pronunciation
Warren, Paul; Elgort, Irina; Crabbe, David – Language Learning & Technology, 2009
In the context of a project developing software for pronunciation practice and feedback for Mandarin-speaking learners of English, a key issue is how to decide which features of pronunciation to focus on in giving feedback. We used naive and experienced native speaker ratings of comprehensibility and nativeness to establish the key features…
Descriptors: Pronunciation, Computer Software, Mandarin Chinese, Native Speakers