Methods of creating a morphological analysis

Authors

  • Шахло Шахло

Keywords:

Natural language processing, NLP, Python, morphological analyzer, token, lemmatization, stemming, morphological generator, search engine, stemming algorithm

Abstract

The process of morphological analysis is an important component of natural language processing systems, such as spelling correctors, parsers, machine translation systems, and electronic dictionaries. This article describes the steps of a text analyzer, a morphological analyzer, and how to create a morphological generator. Here’s how to use the Python NLTK package tools to create a morphological analyzer, and examples of program code. The structure and architecture of the morphological analyzer are also presented on the basis of the stages of the morphological analysis process (inflection, derivation, detection of affixids, compound forms, clitization).

Published

2022-11-08

How to Cite

Шахло, Ш. (2022). Methods of creating a morphological analysis. Uzbekistan Language and Culture, 5(1), 88–108. Retrieved from https://aphil.tsuull.uz/index.php/language-and-culture/article/view/18