TAILIEUCHUNG - Terminological variation, a means of identifying research topics from textsFidelia I B E K W E - S A N J U A N C R I S T A L - G R E S E C , Stendhal University, Grenoble France and Dept. o f Information & C o m m u n i c a t i o n I U T du Havre - B.P.

Terminological variation, a means of identifying research topics from texts Fidelia I B E K W E - S A N J U A N C R I S T A L - G R E S E C , Stendhal University, Grenoble France and Dept. o f Information & C o m m u n i c a t i o n I U T du Havre - . 4006 - 76610 Le Havre France E-mail : fidelia@ Abstract After extracting terms from a corpus of titles and abstracts in English, syntactic variation relations are identified amongst them in order to detect. | Terminological variation a means of identifying research topics from texts Fidelia IBEKWE-SANJUAN CRISTAL-GRESEC Stendhal University Grenoble France and Dept of Information Communication IUT du Havre - . 4006 - 76610 Le Havre France E-mail fidelia@ Abstract After extracting terms from a corpus of titles and abstracts in English syntactic variation relations are identified amongst them in order to detect research topics. Three types of syntactic variations were studied permutation expansion and substitution. These syntactic variations yield other relations of formal and conceptual nature. Basing on a distinction of the variation relations according to the grammatical function affected in a term - head or modifier - term variants are first clustered into connected components which are in turn clustered into classes. These classes relate two or more components through variations involving a change of head word thus of topic. The graph obtained reveals the global organisation of research topics in the corpus. A clustering method has been built to compute such classes of research topics. Introduction The importance of terms in various natural language tasks such as automatic indexing computer-aided translation information retrieval and technology watch need no longer be proved. Terms are meaningful textual units used for naming concepts or objects in a given field. Past studies have focused on building term extraction tools TERMING David s. Plante p. 1991 LEXTER Bourigault D. 1994 ACABIT Daille 1994 FASTR Jacquemin 1995 TERMS Katz . Justeson . 1995 . Here term extraction and the identification of syntactic variation relations are considered for topic detection. Variations are changes affecting the structure and the form of a term producing another textual unit close to the initial one . dna amplification and amplification fingerprinting ofdna. Variations can point to terminological evolution and thus to that of the underlying concept. .

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