The Treatment of Lexical Ambiguity in Machine Translation

Section: Research Paper
Published
Dec 1, 2019
Pages
1-12

Abstract

This research sheds light on one of the most difficult problems especially in designing a translation programme which deals with ambiguity. The programme can be built in a form of categories of words that cannot be adjacent in a sentence. From a semantic point of view, a word certainly has different meanings depending on situations and contexts. It is known that a computer as a machine cannot think as a human being. Thus, our aim is to find a best way of analysing a sentence in a mathematical way, i.e. to find out a programme that uses data bases, calculations, modules that can be linked to each other for specifying the lexical ambiguity.

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How to Cite

Aziz Abdullah, T., & Idrees Thanoon, S. (2019). The Treatment of Lexical Ambiguity in Machine Translation. Adab Al-Rafidayn, 49(79), 1–12. https://doi.org/10.33899/radab.2019.165030