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AUTOMATED MORPHOLOGICAL AND ERROR ANNOTATION OF UZBEK LEARNER ENGLISH: INTEGRATING PHILOLOGICAL ANALYSIS AND NLP IN UNDERGRADUATE TRAINING
Xasanov, Jaxongir
Annotaciya
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.
Natural Language Processing, English Philology, learner corpus, morphological annotation, error annotation, digital humanities, corpus linguistics, Uzbek learner English
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.