Generating Arabic text : The Decoding Component in an Interlingual System for Man-Machine Communication in Natural Language

This paper describes the decoding part in an interlingual system for man-machine communication in natural language. It is based on the Universal Networking Language (UNL) framework. Given a semantic network that represents a relation between a number of concepts, this network can be decoded (or ‘DeConverted’ in UNL technical terms) back to any natural language. This depends on the existence of a dictionary and a grammar for the language to which this network is to be decoded. The role of the dictionary is to find the word in which a given concept is to be expressed. The role of the grammar is to arrange the nodes or the concepts of the network in a way that produces a syntactically well-formed sentence in the target language. The paper addresses the overall technical structure of both the grammar and the dictionary used in the DeConvesion process of the UNL network to generate Arabic text. In addition it will describe different challenges faced in making this mission feasible.

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