Polyvariant Data Set for Morphemic Analysis of Word Forms in Russian

Student: Vasileva Elena

Educational Programme: Computational Linguistics (Master)

Final Grade: 8

Year of Graduation: 2024

The graduation thesis is dedicated to the creation of a multivariant dataset for morphemic segmentation of word forms in the Russian language. This work involves creating a dataset based on the data from A.N. Tikhonov's Morphemic-Orthographic Dictionary, A.I. Kuznetsova and T.F. Efremova's Dictionary of Russian Morphemes, and I.B. Itkin's monograph "Russian Morphology." The dataset is created by training deep convolutional neural networks and a GPT model. Additionally, the dataset is enriched by creating an additional set of data, which includes the morphemic segmentation of inflected word forms of nouns, adjectives, and verbs.

Full text (added June 7, 2024)

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