AI software corrects mistakes in Turkish by foreign learners

A groundbreaking artificial intelligence software developed by Istanbul Technical University (ITU) is capable of identifying and correcting errors in Turkish language learning for foreign students. Led by Gülşen Eryiğit, the innovative project aims to revolutionize the way Turkish is taught to foreigners. The new language learning AI system detects and categorizes language errors, providing personalized lessons to individuals.

Revolutionary AI Software Corrects Mistakes in Turkish Language Learning

Scientists at Istanbul Technical University (İTÜ) have developed cutting-edge artificial intelligence software that can effectively identify and rectify errors in Turkish language usage made by foreign learners.

Initiative Led by Gülşen Eryiğit to Transform Turkish Language Education

The groundbreaking project, led by Gülşen Eryiğit, the head of İTÜ’s Artificial Intelligence and Data Engineering Department, aims to revolutionize the way Turkish is taught to non-native speakers.

Development of Tailored AI System for Turkish Language

Eryiğit highlighted that the inspiration behind the project came from the lack of error-correcting software for languages other than widely spoken ones like English and Mandarin. This led to the creation of a specialized system focusing on Turkish language learning.

Universal Error-Labeling Standard Introduced

A significant aspect of the project involved the establishment of a universal error-labeling standard for language learning. By creating a taxonomy and standards applicable to all languages, the team aims to better identify and categorize language errors.

Shift from Manual to Automated Error Detection

Initially, teachers manually marked errors to train the AI system. Over time, the software evolved to automatically detect and categorize mistakes in grammar, sentence structure, and syntax, providing valuable insights for educators.

Insights for Tailored Language Lessons

The AI system enables educators to analyze aggregated data, pinpointing common challenges faced by different demographic groups. This data-driven approach allows for personalized lessons catering to specific needs, ultimately enhancing the overall learning experience.

Securing Patents and International Collaboration

The project, which involves researchers at various academic levels and international partners, has already obtained two patents related to language learning, showcasing the innovative strides being made in the field.

İLGİLİ HABERLER