1. bookVolumen 72 (2021): Edición 2 (December 2021)
    NLP, Corpus Linguistics and Interdisciplinarity
Detalles de la revista
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Formato
Revista
eISSN
1338-4287
Primera edición
05 Mar 2010
Calendario de la edición
2 veces al año
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Inglés
access type Acceso abierto

L2 Czech Annotation for Automatic Feedback on Pronunciation

Publicado en línea: 30 Dec 2021
Volumen & Edición: Volumen 72 (2021) - Edición 2 (December 2021) - NLP, Corpus Linguistics and Interdisciplinarity
Páginas: 510 - 519
Detalles de la revista
License
Formato
Revista
eISSN
1338-4287
Primera edición
05 Mar 2010
Calendario de la edición
2 veces al año
Idiomas
Inglés
Abstract

In this paper, we would like to provide a brief overview of the current state of pronunciation teaching in e-learning and demonstrate a new approach to building tools for automatic feedback concerning correct pronunciation based on the most frequent or typical errors in speech production made by non-native speakers. We will illustrate this in the process of designing annotation for a sound recognition tool to provide feedback on pronunciation. At the end of the paper, we will also present how we have tried to apply this annotation to the tool, what caveats we have found and what our plans are.

Keywords

[1] Blake, R. (2011). Current Trends in Online Language Learning. Annual Review of Applied Linguistics, 31, pages 19–35.10.1017/S026719051100002X Search in Google Scholar

[2] Duolingo, Inc. (2021). Duolingo (5.1.5) [Mobile app]. Accessible at: https://play.google.com/store/apps/details?id=com.duolingo. Search in Google Scholar

[3] Mikušiak, L. (2015). Ten Ta To (1.7) [Mobile app]. Accessible at: https://play.google.com/store/apps/details?id=com.lubosmikusiak.articuli.tentato. Search in Google Scholar

[4] EVE Technologies, s.r.o. (2021). CzechME (1.0.5) [Mobile app]. Accessible at: https://play.google.com/store/apps/details?id=cz.evetech.czechme. Search in Google Scholar

[5] Rootstrap, Inc. (2020). Report: Online Education Industry Growth 2020. Rootstrap [Web page]. Accessible at: https://www.rootstrap.com/annual-report-online-education-statistics. Search in Google Scholar

[6] Kuhn, R., and De Mori, R. (1990). Cache-based natural language model for speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(6), pages 570–583.10.1109/34.56193 Search in Google Scholar

[7] ELSA Co, Ltd. (2021). ELSA Speak: Online English Learning & Practice App (6.2.1) [Mobile app]. Accessible at: https://play.google.com/store/apps/details?id=us.nobarriers.elsa. Search in Google Scholar

[8] Becker, K., and Edalatishams, I. (2019). ELSA Speak – Accent Reduction [Review]. In J. Levis, C. Nagle and E. Todey (eds.), Proceedings of the 10th Pronunciation in Second Language Learning and Teaching Conference, Ames, IA: Iowa State University. Search in Google Scholar

[9] Hedbávná, B., Janoušková, J., and Veroňková, J. (2009). Výslovnost češtiny u cizinců – poznámky k metodám výuky. In Sborník Asociace učitelů češtiny jako cizího jazyka 2007–2009, pages 16–23, Praha: Akropolis. Search in Google Scholar

[10] Adams, O., Cohn, T., Neubig, G., Cruz, H., Bird, S. et al. (2019). Evaluating phonemic transcription of low-resource tonal languages for language documentation. LREC 2018 (Language Resources and Evaluation Conference), pages 3356–3365, Miyazaki, Japan. Search in Google Scholar

[11] Hochreiter, S., and Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), pages 1735–1780.10.1162/neco.1997.9.8.1735 Search in Google Scholar

[12] Schuster, M., and Paliwal, K. K. (1997). Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing, 45(11), pages 2673–2681.10.1109/78.650093 Search in Google Scholar

[13] Graves, A., Fernandez, S., Gomez, F., and Schmidhuber, J. (2006). Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks. Proceedings of the 23rd international conference on Machine Learning, pages 369–376.10.1145/1143844.1143891 Search in Google Scholar

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