TRENDS IN COMPUTATIONAL LINGUISTICS IN DISSCOURSE SEQUENCE RESEARCH

Abstract

Today, as a result of the rapid development of network technologies, data-oriented methods are widely used in natural language processing.

The aim of the paper is to demonstrate that, using appropriate algorithms and methodologies, researchers and practitioners of computational linguistics can tackle various language processing challenges and continuously make innovative solutions to improve human language cognition.

The paper shows the development of the field of computational linguistics, theoretical and applied components, its connection with the understanding of natural language. Some of the most important applications are discussed with reference to the problems they face in teaching and learning.

From the perspective of computational linguistics, natural language processing refers to the process of using computers related to speech and semantics. On the one hand, probability theory, on the other hand, network technologies contribute to the rapid development of natural language.

The concept of "chain of events" is presented in the paper. The chain of events is a necessary condition for the analysis of discourse sequence and partial dependence.

Based on the chain of events, the paper proposes a model for representing the semantic structure of the text, on the basis of which it is possible to use the sequential resources of the text for semantic analysis.

In order to alleviate the difficulty of computer-based event recognition and to reduce the obstacles in computing text sequences, a manual recognition method is presented in this paper.

A study of discourse sequencing from a computational linguistics perspective is presented.

Key words: computational linguistics, lexical chain, chain of events, discourse.