Abstract:

The process of accomplishing the perception of spoken words turned out to be a task of an extreme difficulty. The way the spoken words are generated, regardless if they are produced separately or in different contexts of larger utterance, is based on a large involvement of the neural network. The attempts of automatic elaboration of different texts - as for example, automatic translation or machine summarization - demands an enhancing of the coherence of the output text and its readability, realised by a post-processing phase. On the other side, among other different computational models, evolutionary computing, behaving similar to the natural processes, transforms (evolves) a collection of subjects or data toward an acceptable solution for a given problem. The present paper intent to drag the attention of the reader to the role of computer applications in processing the natural language that interacts, changes and continuously evolves in various directions. The article examines the possibilities of engaging computer applications, such as genetic algorithms, in processing the natural language.