AUTOMATED MORPHOLOGICAL AND ERROR ANNOTATION OF UZBEK LEARNER ENGLISH: INTEGRATING PHILOLOGICAL ANALYSIS AND NLP IN UNDERGRADUATE TRAINING

Yuldasheva, Sevarabonu Komiljon qizi

Science time · 2026-yil

Annotatsiya

This study examines the integration of automated morphological and error annotation technologies into undergraduate English Philology education through the analysis of Uzbek learner English. The research investigates how automated annotation systems can be employed to identify morphological structures and learner errors in English texts produced by Uzbek university students.

Maqola ma’lumotlari
MualliflarYuldasheva, Sevarabonu Komiljon qizi
JurnalScience time
Nashr sanasi2026-06-11
Jild4
Son6/1
Betlar146-150
TilIngliz
DOI10.66345/stj.6799

Kalit so‘zlar

Natural Language Processing, English Philology, learner corpus, morphological annotation, error annotation, digital humanities, corpus linguistics, Uzbek learner English

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