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A. Aitim

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Open access Jul 2026

FORMAL AND NEURAL APPROACHES TO MORPHOLOGICAL ANALYSIS IN AGGLUTINATIVE LANGUAGES: EVIDENCE FROM KAZAKH

The study demonstrates that effective morphological analysis of agglutinative languages requires the integration of neural representation learning with explicit linguistic structure, and suggests a hybrid morphology-aware framework that adds symbolic restrictions to neural inference.

A. Aitim · 0 citations

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