Search (3 results, page 1 of 1)

  • × author_ss:"Mustafa el Hadi, W."
  • × theme_ss:"Computerlinguistik"
  1. Mustafa el Hadi, W.; Jouis, C.: Evaluating natural language processing systems as a tool for building terminological databases (1996) 0.02
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    Abstract
    Natural language processing systems use various modules in order to identify terms or concept names and the logico-semantic relations they entertain. The approaches involved in corpus analysis are either based on morpho-syntactic analysis, statistical analysis, semantic analysis, recent connexionist models or any combination of 2 or more of these approaches. This paper will examine the capacity of natural language processing systems to create databases from extensive textual data. We are endeavouring to evaluate the contribution of these systems, their advantages and their shortcomings
  2. Mustafa el Hadi, W.; Jouis, C.: Natural language processing-based systems for terminological construction and their contribution to information retrieval (1996) 0.02
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    Abstract
    This paper will survey the capacity of natural language processing (NLP) systems to identify terms or concept names related to a specific field of knowledge (construction of a reference terminology) and the logico-semantic relations they entertain. The scope of our study will be limited to French language NLP systems whose purpose is automatic terms identification with textual area-grounded terms providing access keys to information
  3. Mustafa el Hadi, W.: Automatic term recognition & extraction tools : examining the new interfaces and their effective communication role in LSP discourse (1998) 0.02
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    Abstract
    In this paper we will discuss the possibility of reorienting NLP (Natural Language Processing) systems towards the extraction, not only of terms and their semantic relations, but also towards a variety of other uses; the storage, accessing and retrieving of Language for Special Purposes (LSPZ-20) lexical combinations, the provision of contexts and other information on terms through the integration of more interfaces to terminological data-bases, term managing systems and existing NLP systems. The aim of making such interfaces available is to increase the efficiency of the systems and improve the terminology-oriented text analysis. Since automatic term extraction is the backbone of many applications such as machine translation (MT), indexing, technical writing, thesaurus construction and knowledge representation developments in this area will have asignificant impact