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Translation, the biggest challenge for computers
Author
Source
Annales des Lettres et des Langues
Issue
Vol. 5, Issue 10 (28 Feb. 2018), pp.8-25, 18 p.
Publisher
Université Mohamed Boudiaf-M'sila Faculté des Letters et des Langues
Publication Date
2018-02-28
Country of Publication
Algeria
No. of Pages
18
Main Subjects
Languages & Comparative Literature
Abstract EN
The large number of users of computers and information technology understand the relationship between computer and language as the computer provides great potential to study, analyze and simplify human languages and also to facilitate their education.
But the relationship is not so, it involves a lot of complexities and ambiguities.
The natural language processing is a difficult and an incomprehensible expression/term because of the challenges that it poses.
The automatic processing of language is primarily for the development, the creation and the formulation of machine translation, whether written or spoken, because translation is the only means by which nations can cope with the explosion of knowledge and information; no society or nation can live independently of this knowledge revolution in front of the hegemony of the English language in the world.
The purpose of this research is to know the challenges posed by translation in this field and to what extent the computer succeeded in providing a translation equal to the human translation
American Psychological Association (APA)
Fadilah, Abbadu. 2018. Translation, the biggest challenge for computers. Annales des Lettres et des Langues،Vol. 5, no. 10, pp.8-25.
https://search.emarefa.net/detail/BIM-930457
Modern Language Association (MLA)
Fadilah, Abbadu. Translation, the biggest challenge for computers. Annales des Lettres et des Langues Vol. 5, no. 10 (Feb. 2018), pp.8-25.
https://search.emarefa.net/detail/BIM-930457
American Medical Association (AMA)
Fadilah, Abbadu. Translation, the biggest challenge for computers. Annales des Lettres et des Langues. 2018. Vol. 5, no. 10, pp.8-25.
https://search.emarefa.net/detail/BIM-930457
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-930457