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MORPHEME ANALYSIS OF OCCASIONALISMS IN NATURAL LANGUAGE PROCESSING (NLP)

Authors: Nilufar Abdurakhmonova; Saodat Boysariyeva;

MORPHEME ANALYSIS OF OCCASIONALISMS IN NATURAL LANGUAGE PROCESSING (NLP)

Abstract

In this article, the theoretical views about the morpheme analysis of occasionalisms in the processing of Uzbek texts are analyzed. On the example of occasionalisms occured mainly in literary texts, the importance of the base of words and adverbs in the implementation of morpheme analysis is shown. Moreover, derivational and inflectional models of affixes were statistically studied based on experiments, when entering occasionalisms formed from word-forming morphemes into the database and analyzing it with the assistance of a computer. When dividing words formed by word- forming suffixes into morpheme parts, the use of their morphological information or the determination of word bases according to the grammatical relationship with other words in the text is expressed. It is emphasized that the morpheme base of the Uzbek language is not only a linguistic resource, but also a source of word formation for language learners.

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Keywords

database, occasionalism, morpheme analysis, Uzbek language corpus

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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