LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models
October 27, 2025 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Sammriddh Gupta, Sonit Singh, Aditya Joshi, Mira Kim
arXiv ID
2510.23011
Category
cs.CL: Computation & Language
Cross-listed
cs.CY
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Language educators strive to create a rich experience for learners, while they may be restricted in the extend of feedback and practice they can provide. We present the design and development of LangLingual, a conversational agent built using the LangChain framework and powered by Large Language Models. The system is specifically designed to provide real-time, grammar-focused feedback, generate context-aware language exercises and track learner proficiency over time. The paper discusses the architecture, implementation and evaluation of LangLingual in detail. The results indicate strong usability, positive learning outcomes and encouraging learner engagement.
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