The Problem of Morphological Synthesis and Methods, Algorithms for Handling Errors in Word Forms

Morphological synthesis is a key aspect of natural language processing that focuses on the generation of word forms from their base components - roots, stems, prefixes, affixes, and inflectional morphemes. It plays a crucial role in understanding and generating various grammatical forms of words in different languages. This process is essential for tasks such as machine translation, speech synthesis, text generation, and information retrieval. In agglutinative languages, words are formed by stringing together affixes that each represent a single grammatical function. Each morpheme retains its distinct meaning and function, making synthesis relatively predictable. In this article, using Kyrgyz as an example, we have examined the rules governing the attachment of affixes to words and assessed whether these affixes are correctly attached or if there are issues with morphological synthesis. This is, of course, a very topical issue. Because the first step in the problems of artificial intelligence is to pay attention to the features and ways of language creation.