Learning L2 Pronunciation with Google Translate [Konferenzbericht] Paper presented at the EUROCALL 2022 Conference (30th, Reykjavik, Iceland, Aug 17-19, 2022).

Autor/inn/en	Khademi, Hamidreza; Cardoso, Walcir
Titel	Learning L2 Pronunciation with Google Translate [Konferenzbericht] Paper presented at the EUROCALL 2022 Conference (30th, Reykjavik, Iceland, Aug 17-19, 2022).
Quelle	(2022), (7 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Khademi, Hamidreza) ORCID (Cardoso, Walcir)
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Second Language Learning; Second Language Instruction; Translation; Computer Software; Computational Linguistics; Pronunciation Instruction; Teaching Methods; Audio Equipment; English (Second Language); Morphemes; Phonological Awareness; Auditory Perception; Learning Processes; Native Language; Indo European Languages; Foreign Countries; Adult Students; Iran + Suchen Sie Ihr Suchwort? Zweitsprachenerwerb; Fremdsprachenunterricht; Linguistics; Computerlinguistik; Ausspracheübung; Teaching method; Lehrmethode; Unterrichtsmethode; Audio-CD; English as second language; English; Second Language; Englisch als Zweitsprache; Morphem; Auditive Wahrnehmung; Akustische Wahrnehmung; Akustik; Learning process; Lernprozess; Indoeuropäisch; Ausland; Adult; Adults; Student; Students; Erwachsenenalter; Studentin; Schüler; Schülerin
Abstract	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 levels of pronunciation development: phonological awareness, perception, and production. Our pre/posttest results indicate significant improvements in the participants' awareness and perception of the English past -ed, but no improvements in production (except for /id/). These findings corroborate our hypothesis that GT's speech capabilities can be used as pedagogical tools to help learners acquire the target pronunciation feature. [For the complete volume, "Intelligent CALL, Granular Systems and Learner Data: Short Papers from EUROCALL 2022 (30th, Reykjavik, Iceland, August 17-19, 2022)," see ED624779.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01