اللسانيات الحاسوبية-الترجمة الآلية

Abstract EN

The French researcher Laurence Danlos provides us with a historical and methodological overview of computational linguistics and machine translation in a nice pedagogical style.

In fact, the researcher tackled the achievements of researchers in these areas in a critical way.

She excluded the idea of a computer achievement and understanding at the moment.

Indeed, her application where through two programs (named Eliza and Rea).

The former is the last and best model for all subsequent software and works with the technology of parallelism.

However the latter is the tremendous and highest investigation in artificial intelligence so that they can interact with the user according to the Natural Language, within a particular domain.

Laurence indicates the failure of the literal translation of the texts and excluded the idea that of translating without understanding at the moment.

Therefore we need to provide a measure of analysis and another for the generation of the system until the translation is appropriate.

However, the language carries the confusion and thus, it hinders this process at all the levels.

(i.e.

We can notice this in the linear participant).

Ultimately, the researcher concluded her essay by pointing out that these difficulties do not stand as a barrier to laboratories and institutions that are working actively.

Thus, to reach the goal needs more efforts from researchers in different knowledge that contained a language.