Academic Journal
Question–Answer Models for Teaching Programming in Kazakh: A Morphology-Aware Controlled Study.
| Τίτλος: | Question–Answer Models for Teaching Programming in Kazakh: A Morphology-Aware Controlled Study. |
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| Συγγραφείς: | Tukeyev, Ualsher, Rysbek, Bekarys, Hnatkowska, Bogumiła |
| Πηγή: | Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6156, 25p |
| Θεματικοί όροι: | Question answering systems, Low-resource languages, Natural language processing, Computer programming education, Python programming language, Model validation |
| Περίληψη: | This study investigates whether morphology-aware input processing can improve question-answering performance for teaching programming in Kazakh, a low-resource language with rich morphological variation. Rather than proposing a new neural architecture, the study presents a controlled empirical evaluation of an adapted pipeline that combines FEMSeg_kaz preprocessing with morphology-aware post-processing (MAPP) normalization and domain-specific fine-tuning. A dataset of 50,386 Kazakh-language Python programming question–answer pairs was constructed with GPT-4o assistance and expert validation. Each pair consists of a student-style programming question in Kazakh and a corresponding instructional answer, usually including a short explanation and, when appropriate, a Python code example. Experiments with multilingual encoders and a controlled MiniLM setup show that morphology-aware normalization produces measurable improvements under fixed evaluation conditions, while its combination with domain-specific fine-tuning improves several answer selection and contextual-overlap indicators. The findings suggest that carefully controlled adaptation of established NLP techniques can support the development of Kazakh educational QA systems in morphologically rich, low-resource settings. Because no separate validation split or early stopping was used, these findings should be interpreted as controlled fixed-epoch comparison results rather than as fully optimized model selection results. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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