Lexer theory is a theory that studies the process of text processing on a computer. Lexor theory has much in common with syntax theory, but also includes the analysis of the semantics of a text.
Lexor theory consists of several stages. First, the text is analyzed for spaces, punctuation, and other characters that don't make sense. The text is then broken down into words that can be identified using algorithms. At this stage, the definition of word boundaries and their classification also occurs.
The next step is to determine the parts of speech of each word. It can be a noun, verb, adjective, etc. At this stage, various algorithms and methods are used, such as contextual analysis and statistical methods.
Finally, lexor theory involves analyzing the meaning of a text. This may include identifying the text's theme, its main idea, and the author's goals. For this, various methods are used, such as analyzing the tone of the text and its emotional coloring.
Overall, lexor theory is an important tool for analyzing and processing text on computers. It allows you to automate many processes associated with text processing and improve the quality of working with it.