Abstract

The number of possible word forms in agglutinative languages is theoretically unlimited. This, in turn, creates the problem of POS tagging (part-of-speech) of out-of-vocabulary (OOV) words in agglutinative lan-guages. In agglutinative languages, words are formed by combining stems and suffixes. Because phonetic harmony and disharmony occur when suf-fixes are added to the root, it is necessary to analyze both phonetic and morphological changes. When solving many NLP tasks, it is necessary to reduce word forms to their root (stemming). Removing all inflectional affixes from a word and lemmatizing the rest of the word is considered one of the important tasks of natural language processing (NLP), and this process is called stemming. The stemming process is important in infor-mation retrieval (IR) systems.

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