In this paper, we introduce a conversational agent (chatbot) for Hindi-speaking youth called BELA-Bot for English Language Acquisition. Developed for the young underprivileged students at an Indian non-profit, the agent supports both Hindi and Hinglish (code-switched Hindi and English, written primarily with English orthography) utterances. BELA has two interaction modes: a question-answering mode for classic English language learning tasks like word meanings, translations, reading passage comprehensions, etc., and an open-domain dialogue system mode to allow users to practice their language skills. We present a high-level overview of the design of BELA, including the implementation details and the preliminary results of our early prototype. We also report the challenges in creating an English-language learning chatbot for a largely Hindi-speaking population.
CITATION STYLE
Mahajan, M. (2022). BELA: Bot for English Language Acquisition. In NLP4PI 2022 - 2nd Workshop on NLP for Positive Impact, Proceedings of the Workshop (pp. 142–148). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.nlp4pi-1.17
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