Ubiquitous Computing and Communication Journal
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Title: ATRANF: Machine Translation System Prototype
Authors: Miss Fahima Bouzit, Dr. Mohamed Tayeb Laskri
This work falls within the framework of natural language processing. Our goal is to develop a machine translation system from Arabic to French using a purely linguistic method as a key to get insights into the standard layer-based structure of linguistic phenomena (morphology, syntax and semantics) as well as in recognizing the interaction between them, which we think is the most appropriate to a such rich in morphology and syntax language as Arabic. To ensure that, we used a set of linguistic theories such as: Fillmore theory, conceptual dependency, semantic traits of Chafe and frame representation of Minsky. We will show in this paper, the usefulness of these methods and how we combined them to realize a multilingual translation system.