USING NATURAL LANGUAGE PROCESSING TO ENHANCE LANGUAGE TEACHING METHODOLOGIES

KASHIMOVA, Alina Abbdujapparovna

Lingvospektr · 2025-yil

Annotatsiya

This paper explores the potential of Natural Language Processing (NLP) technologies as a tool for fundamentally enhancing existing foreign language teaching methodologies. Traditional approaches often face challenges related to scalability, assessment objectivity, and insufficient personalization of the learning process. The analysis indicates that the integration of NLP tools, such as Automated Essay Scoring (AES) systems and Intelligent Tutoring Systems (ITS), allows these limitations to be overcome. NLP technologies provide instantaneous and objective feedback on grammar, syntax, and text content, while also analyzing spoken language through speech recognition. The adoption of NLP facilitates a shift toward adaptive, student-centered methodologies that dynamically adjust the complexity of materials and the type of exercises, thereby increasing the efficiency of teaching all four key skills (reading, writing, listening, and speaking).

Maqola ma’lumotlari
MualliflarKASHIMOVA, Alina Abbdujapparovna
JurnalLingvospektr
Nashr sanasi2025-12-25
Jild12
Son2
Betlar69-72
TilIngliz

Kalit so‘zlar

natural language processing (NPL), language teaching methodologies, automated assessment, intelligent tutoring systems (ITS), personalized learning, writing assessment.

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