Linguа Chаt-Pro/Linguа Streаm

EasyChair Preprint 11419

Abstract

This paper introduces "Lingua ChatPro," an innovative language learning chatbot designed to enhance the language acquisition process through natural and interactive conversations. Leveraging the ChatGPT API, Lingua ChatPro harnesses the power of advanced language models to create an immersive and personalized learning experience.

The chatbot employs state-of-the-art natural language processing techniques to engage users in dynamic conversations, simulating real-life language interactions. Users can practice and refine their language skills in a supportive and user-friendly environment, receiving instant feedback and guidance from the chatbot.

Furthermore, Lingua ChatPro incorporates adaptive learning algorithms that tailor the conversation flow based on the user's proficiency level, learning pace, and individual preferences. This adaptability ensures a customized learning journey that is both challenging and rewarding, promoting sustained interest and progress.

The integration of the ChatGPT API enables Lingua ChatPro to stay up-to-date with the latest advancements in language models, ensuring a cutting-edge and effective language learning tool. The paper also discusses the technical aspects of the implementation, highlighting the seamless integration of the ChatGPT API into the chatbot architecture.

The effectiveness of Lingua ChatPro is evaluated through user studies, measuring language proficiency improvements and user satisfaction. Preliminary results demonstrate the promising potential of Lingua ChatPro as a valuable tool in language education, providing an accessible and engaging platform for learners to hone their linguistic abilities.

In conclusion, Lingua ChatPro represents a significant advancement in the field of language learning chatbots, combining the capabilities of the ChatGPT API with adaptive learning strategies to create an intelligent and effective language learning companion.

Keyphrases: ChatGPT API, NLP, adaptive learning

@booklet{EasyChair:11419,
  author    = {Lakshay Dev Singh and Aditya Singh},
  title     = {Linguа Chаt-Pro/Linguа Streаm},
  howpublished = {EasyChair Preprint 11419},
  year      = {EasyChair, 2023}}