Tone Language Teaching Assitant Model

Hanwen Yang

doi:10.54097/ehss.v15i.9102

Authors

Hanwen Yang

DOI:

https://doi.org/10.54097/ehss.v15i.9102

Keywords:

Language model, tonal language study, computer science.

Abstract

The study for the tonal languages has always been an important issue in the field of the linguistics. How to improve the efficiency of language learning and provide learners with appropriate feedback in time is worthy of attention. In this paper, the research aims to design an automatic system or application to help users learn the tones they pronounce in order to improve their learning efficiency relative to manual teaching. The user will first select the proficiency level, and the system will provide corresponding sentences for learners to read. Learners will have three buttons to choose from: read the sentence, ask for a prompt, or just skip. If the learner mispronounces the sentence, the app will automatically mark the word the learner mispronounces in red and provide the correct pronunciation. The general framework and the corresponding example results were also provided in this study. Such a system has a potential to be applied in the real life.

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