Recent Advances in Computational Terminology
Published on 15. June 2001
Book
Hardback
379 pages
978-1-58811-016-9 (ISBN)
Description
This first collection of selected articles from researchers in automatic analysis, storage, and use of terminology, and specialists in applied linguistics, computational linguistics, information retrieval, and artificial intelligence offers new insights on computational terminology. The recent needs for intelligent information access, automatic query translation, cross-lingual information retrieval, knowledge management, and document handling have led practitioners and engineers to focus on automated term handling. This book offers new perspectives on their expectations. It will be of interest to terminologists, translators, language or knowledge engineers, librarians and all others dependent on the automation of terminology processing in professional practices.
The articles cover themes such as automatic thesaurus construction, automatic term acquisition, automatic term translation, automatic indexing and abstracting, and computer-aided knowledge acquisition.
The high academic standing of the contributors together with their experience in terminology management results in a set of contributions that tackle original and unique scientific issues in correlation with genuine applications of terminology processing.
The articles cover themes such as automatic thesaurus construction, automatic term acquisition, automatic term translation, automatic indexing and abstracting, and computer-aided knowledge acquisition.
The high academic standing of the contributors together with their experience in terminology management results in a set of contributions that tackle original and unique scientific issues in correlation with genuine applications of terminology processing.
More details
Series
Language
English
Place of publication
Amsterdam
Netherlands
Target group
Professional and scholarly
Weight
640 gr
ISBN-13
978-1-58811-016-9 (9781588110169)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
1. Introduction (by Bourigault, Didier); 2. A graph-based approach to the automatic generation of multilingual keyword clusters (by Aizawa, Akiko); 3. The automatic construction of faceted terminological feedback for interactive document retrieval (by Anick, Peter G.); 4. Automatic term detection: A review of current systems (by Cabre Castellvi, M. Teresa); 5. Incremental extraction of domain-specific terms from online text resources (by Chien, Lee-Feng); 6. Knowledge-based terminology management in medicine (by Cimino, James J.); 7. Searching for and identifying conceptual relationships via a corpus-based approach to a Terminological Knowledge Base (CTKB): Method and Results (by Condamines, Anne); 8. Qualitative terminology extraction: Identifying relational adjectives (by Daille, Beatrice); 9. General considerations on bilingual terminology extraction (by Gaussier, Eric); 10. Detection of synonymy links between terms: Experiment and results (by Hamon, Thierry); 11. Extracting useful terms from parenthetical expressions by combining simple rules and statistical measures: A comparative evaluation of bigram statistics (by Hisamitsu, Toru); 12. Software tools to support the construction of bilingual terminology lexicons (by Hull, David A.); 13. Determining semantic equivalence of terms in information retrieval: An approach based on context distance and morphology (by Jing, Hongyan); 14. Term extraction using a similarity-based approach (by Maynard, Diana); 15. Extracting knowledge-rich contexts for terminography: A conceptual and methodological framework (by Meyer, Ingrid); 16. Experimental evaluation of ranking and selection methods in term extraction (by Nakagawa, Hiroshi); 17. Corpus-based extension of a terminological semantic lexicon (by Nazarenko, A.); 18. Term extraction for automatic abstracting (by Oakes, Michael P.); 19. About the contributors; 20. Name Index; 21. Subject Index