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Thesis

French

ID: <

10670/1.42wi5z

>

Where these data come from
Terminological study of chemistry in Arabic in a text mining approach

Abstract

Despite the importance of an international nomenclature, the field of chemistry still suffers from some linguistic problems, linked in particular to its simple and complex terminological units, which can hinder scientific communication. Arabic is no exception, especially since its agglutinating spelling and, in general, not vowelized, may lead to enormous ambiguity's problems. This is in addition to the recurring use of borrowings. The problematic is how to represent the simple and complex terminological units of this specialized language. In other words, formalize the terminological characteristics by studying the mechanisms of themorphosyntactic construction of the chemistry' terms in Arabic. This study should lead to the establishment of a semantic-disambiguation tool that aims to create a tool for extracting the terms of Arabic chemistry and their relationships. A relevant search in Arabic cannot be done without an automated system of language processing; this automatic processing of corpuswritten in Arabic cannot be done without a language analysis; this linguistic analysis, more exactly, this terminology study, is the basis to build the rules of an identification grammar in order to identify the chemistry's terms in Arabic. The construction of this identification grammar requires modelling of morphosyntactic patterns from their observation in corpus and leads to the definition of rules of grammar and constraints.

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