Prototype of a robotic system to assist the learning process of English language with text-generation through DNN
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Abstract (arXiv)
In the last ongoing years, there has been a significant ascending on the field of Natural Language Processing (NLP) for performing multiple tasks including English Language Teaching (ELT). An effective strategy to favor the learning process uses interactive devices to engage learners in their self-learning process. In this work, we present a working prototype of a humanoid robotic system to assist English language self-learners through text generation using Long Short Term Memory (LSTM) Neural Networks. The learners interact with the system using a Graphic User Interface that generates text according to the English level of the user. The experimentation was conducted using English learners and the results were measured accordingly to International English Language Testing System (IELTS) rubric. Preliminary results show an increment in the Grammatical Range of learners who interacted with the system.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 27 references that are in the map. First posted on arXiv 20 Sep 2023.
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References · 12
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