Automatic morphological segmentation for Russian

Student: Andriianets Vasilisa

Supervisor: Timofey Arkhangelskiy

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2019

In this paper, we introduce a finite-state transducer based program for splitting Russian lemmas into morphemes. Our program allows for multiroot words and outputs as few variants of the analysis as possible for FSTs. We also introduce a program that not only outputs the morphological splitting but also puts brackets on the affix that is the closest to the root based on the Russian National Corpus data, in other words, gives the maximally possible combination of affixes and the root the word in question was derived from.

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