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Natural Language and Information Systems: 13th International by Edward Gibson (auth.), Epaminondas Kapetanios, Vijayan

By Edward Gibson (auth.), Epaminondas Kapetanios, Vijayan Sugumaran, Myra Spiliopoulou (eds.)

This publication constitutes the refereed complaints of the thirteenth overseas convention on functions of common Language to info structures, NLDB 2008, held in London, united kingdom, in June 2008.

The 31 revised complete papers and 14 revised poster papers provided including three invited talks and four papers of the NLDB 2008 doctoral symposium have been rigorously reviewed and chosen from eighty two submissions. The papers are prepared in topical sections on normal language processing and knowing, conceptual modelling and ontologies, info retrieval, querying and query answering, rfile processing and textual content mining, software program (requirements) engineering and specification.

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Preliminary evaluation of the experimental results for a dictionary of Spanish is given. , our main goal is investigating the application of the unsupervised technique for determining morpheme structure of words. Word division into morphemes is useful for automatic description of morphological structures of languages without existing morphological models and/or morphological ∗ Work done under partial support of Mexican Government (CONACYT, SNI) and National Polytechnic Institute, Mexico (SIP, COFAA, PIFI).

Sentinel Event Alert 23 (2001) 15. : A Study of Abbreviations in MEDLINE Abstracts. , pp. 464–469 (2002) 16. : The Magical Number Seven, Plus or Minus Two: Some Limits on our Capacity of Information. Psychological Science 63, 81–97 (1956) 17. : Building an Abbreviation Dictionary using a Term Recognition Approach. Bioinformatics 22(24), 3089–3095 (2006) 18. : Clustering Acronyms in Biomedical Text for Disambiguation. In: Proceedings of fifth international conference on Language Resources and Evaluation (LREC), pp.

It is important for modern information retrieval technologies, when we are dealing with unknown languages or languages without complete description [5], or, possibly, for some specific terminological areas, say, medicine. The prevalent approach is presented in [3] and it is implemented in Linguistica system. Variations of this method are described in [4], [7], and [1]. The main idea of this approach is to use heuristics for reduction of the algorithm search space. There are two principal heuristics.

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