An Artificial Intelligence Conversational Chatbot Developed for Non-Native English Speakers

Authors

  • Pengcheng Li

DOI:

https://doi.org/10.54097/hset.v1i.433

Keywords:

Conversational artificial intelligence, Educational chatbot, Automatic speech recognition, Educational data mining

Abstract

As common knowledge would dictate, the best way to learn a language is to talk with native speakers of said language. However, it may not be the easiest for non-fluent, non-native speakers of languages such as English to find native English speakers to converse with. This paper proposes a conversational chatbot that would help non-native speakers to converse with artificial intelligence with equal, if not greater, fluency compared with a native English speaker.

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References

Budzianowski, Paweł, and Ivan Vulić. “Hello, It’s GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems.” ArXiv:1907.05774 [Cs], Aug. 2019. arXiv.org, http://arxiv.org/abs/1907.05774. 1-6.

Witt, S., and Young, S. (1997). Language learning based on non-native speech recognition.

In Proceedings of Eurospeech. 1-4.

Wolf, T., Sanh, V., Chaumond, J., and Delangue, C. (2019). Transfertransfo: A transfer learning approach for neural network based conversational agents. ArXiv:1901.08149 [Cs]. http://arxiv.org/abs/1901.08149. 1-4.

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Published

14-06-2022