Towards A Modern Arabic Text Machine Translation System from Arabic to English

Abstract

Machine translation considered as the most difficult application for NLP, a deep analysis for the source language is needed. So we can say that parsing is the backbone of any machine translation system that is a good parser is needed to support the translation process. This chapter will briefly sketch some background on natural language processing. Then the focus turns to a description of the scope of the current work. Next, the aim of the current work and the structure of this thesis are summarized 1.1 Natural language processing Language is the fundamental means of communication for human beings. Though simple and comprehensive as it may appear to human, it is in fact of most complexity when it comes to understanding in the part of the computer. Natural language processing (NLP) is the engineering of systems that process or analyze written or spoken natural language. Since most of human knowledge is recorded in linguistic form, enabling computers to understand natural language would allow it to access all this knowledge (URL2). Number of problems faces the worker in this filed such as: • Richness: in natural languages there are many grammatical patterns and hundreds of thousands of words. • Ambiguity: there are words of several sense and sentences of different readings. • Creativity: New words introduced and the use of unconventional grammar. • Indirect expression: The ideas we express are often indirectly related to the meanings of our utterances • Implicit links among sentences: Pronoun reference, temporal reference. Implicit causal links. (Mats D., 2004)