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Enhancing Language Learning Personalization Through Deep Learning-Driven Chatbot Assistance

  • Sara Ouald Chaib,
  • Mouhcine Merrahi,
  • Samira Khoulji

摘要

The rapid advancement of cutting-edge technologies, notably Deep Learning and Neural Networks, has given rise to intelligent chatbots capable of learning through interactive communication. Exploiting this progress offers an exceptional opportunity in the domain of foreign language education, where effective language acquisition hinges on meaningful communication. Integrating chatbots in this context can revolutionize language learning, empowering learners to make informed decisions on selecting suitable language learning tools tailored to their linguistic requirements. This research endeavors to develop an advanced chatbot by harnessing the potential of Natural Language Processing (NLP) and Deep Learning methodologies. The article presents a comprehensive account of the rationale behind adopting such an innovative tool, elucidating the intricate development process, delineating its distinctive attributes and functionalities, and outlining the evaluation phase that underscores the chatbot’s efficacy and effectiveness. The evaluation results unequivocally demonstrate the chatbot’s user-friendliness, yielding superior outcomes in terms of accuracy and precision. This compellingly underscores the transformative impact of chatbots in the realm of language learning, highlighting the invaluable contributions of leveraging state-of-the-art technologies like Deep Learning and NLP in crafting such empowering educational tools.