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Papin, Kevin; Cardoso, Walcir – Research-publishing.net, 2022
This paper examines the impact of self-directed pronunciation practice using "Google Translate" (GT) on the acquisition of French liaison (the production of latent consonants when they appear in consonant-vowel contexts across words: /z/ in le/za/mis 'the friends'). Second-language (L2) French learners completed homework activities on GT…
Descriptors: French, Second Language Learning, Translation, Pronunciation
Khademi, Hamidreza; Cardoso, Walcir – Research-publishing.net, 2022
This article, based on Khademi's (2021) Master's thesis, examines the use of Google Translate (GT) and its speech capabilities, Text-to-Speech Synthesis (TTS) and Automatic Speech Recognition (ASR), in helping L2 learners acquire the pronunciation of English past -ed allomorphy (/t/, /d/, /id/) in a semi-autonomous context, considering three…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
John, Paul; Cardoso, Walcir; Johnson, Carol – Research-publishing.net, 2022
This study examines the L2 pronunciation feedback provided by the Automatic Speech Recognition (ASR) functionality in Google Translate (GT). We focus on three Quebec Francophone (QF) errors in English: th-substitution, h-deletion, and h-epenthesis. Four hundred and eighty male and female QF recordings of sentences with correctly and incorrectly…
Descriptors: Second Language Learning, Second Language Instruction, Audio Equipment, Accuracy
He, Yue; Cardoso, Walcir – Research-publishing.net, 2021
[For the complete volume, "CALL and Professionalisation: Short Papers from EUROCALL 2021 (29th, Online, August 26-27, 2021)," see ED616972.]This study investigated whether a translation tool (Microsoft Translator -- MT) and its built-in speech features (Text-To-Speech synthesis -- TTS -- and speech recognition) can promote learners'…
Descriptors: Translation, Computational Linguistics, Pronunciation Instruction, Teaching Methods
Grimshaw, Jennica; Bione, Tiago; Cardoso, Walcir – Research-publishing.net, 2018
The current study compared five free Text-To-Speech (TTS) systems, selected based on characteristics such as availability and capabilities. Tasks were completed by 37 English learners to evaluate these systems in terms of their comprehensibility, naturalness, and intelligibility. Our findings indicate that IBM Watson and Google Translate are the…
Descriptors: Assistive Technology, Educational Technology, Audio Equipment, Comprehension