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V Preface CICLing 2006 (www.CICLing.org) was the 7th Annual Conference on Intelligent Text Processing and Computational Linguistics. The CICLing conferences are intended to provide a wide-scope forum for discussion of the internal art and craft of natural language processing research and the best practices in its applications. This volume contains the(More)
With increasingly higher numbers of non-English language web searchers the problems of efficient handling of non-English Web documents and user queries are becoming major issues for search engines. The main aim of this review paper is to make researchers aware of the existing problems in monolingual non-English Web retrieval by providing an overview of open(More)
In recent years, there has been a considerable amount of interest in using Natural Language Processing in Information Retrieval research, with speciic implementations varying from the word-level morphological analysis to syntactic parsing to conceptual-level semantic analysis. In particular, diierent degrees of phrase-level syntactic information have been(More)
In this paper we consider a set of natural language processing techniques that can be used to analyze large amounts of texts, focusing on the advanced tokenizer which accounts for a number of complex linguistic phenomena, as well as for pre-tagging tasks such as proper noun recognition. We also show the results of several experiments performed in order to(More)
In this our first participation in CLEF, we have applied Natural Language Processing techniques for single word and multi-word term conflation. We have tested several approaches at different levels of text processing in our experiments: firstly, we have lemmatized the text to avoid inflectional variation; secondly, we have expanded the queries through(More)
This paper deals with the application of natural language processing techniques to the field of information retrieval. To be precise , we propose the application of morphological families for single term conflation in order to reduce the linguistic variety of indexed documents written in Spanish. A system for automatic generation of morphological families(More)
This workshop attempted to promote the discussion and the research on non-English Web searching. Most search engines were first built for English. They do not take full account of inflectional semantics nor, for example, diacritics or the use of capitals. Our main aim was to discuss the additional problems faced in non-English Web queries and to suggest(More)
This article presents two new approaches for term indexing which are particularly appropriate for languages with a rich lexis and morphology, such as Spanish, and need few resources to be applied. At word level, productive derivational morphology is used to conflate semantically related words. At sentence level, an approximate grammar is used to conflate(More)