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A novel framework for morphological processing of Turkish
(Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in Social Sciences, 2023., 2023) Dursun, Olgun.; Güngör, Tunga.; Atlamaz, Ümit.
Morphological parsing is the computational task of breaking down words into their roots and affixes. There are several successful morphological parsers for Turkish, especially for inflectional morphology. However, there is a gap in the literature concerning the analysis of fusional properties of foreign-origin words, support for prefixes, and comprehensive derivational suffix coverage. To address this gap, this thesis describes and implements a new computational morphological processing framework for Turkish with novel principles. These principles are based on the recent opportunities and requirements in the natural language processing field, namely the transformer-based pre-trained large language models and fine-tuning approaches. The framework contains a description of language resources structure, a morphological analyzer that examines all possible parses of a word, a morphological disambiguator that picks the correct hypothesis among analyzer outputs, and error analysis modules for these tools.