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Retrieving Collocations from Text: Xtract
  • F. Smadja
  • Computer Science
  • Comput. Linguistics
  • 1 March 1993
Natural languages are full of collocations, recurrent combinations of words that co-occur more often than expected by chance and that correspond to arbitrary word usages. Recent work in lexicographyExpand
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Automated Tag Clustering: Improving search and exploration in the tag space
In this paper we discuss the use of clustering techniques to enhance the user experience and thus the success of collaborative tagging services. We show that clustering techniques can improve theExpand
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Translating Collocations for Bilingual Lexicons: A Statistical Approach
Collocations are notoriously difficult for non-native speakers to translate, primarily because they are opaque and cannot be translated on a word-by-word basis. We describe a program namedExpand
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Automatically Extracting and Representing Collocations for Language Generation
Collocational knowledge is necessary for language generation. The problem is that collocations come in a large variety of forms. They can involve two, three or more words, these words can be ofExpand
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Natural language generation in COMET
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Full text indexing based on lexical relations an application: software libraries
In contrast to other kinds of libraries, software libraries need to be conceptually organized. When looking for a component, the main concern of users is the functionality of the desired component;Expand
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Using collocations for language generation 1
A large number of wording choices naturally occurring in English sentences cannot be accounted for on semantic or syntactic grounds. They represent arbitrary word usages and are termed collocations.Expand
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Xtract: An overview
  • F. Smadja
  • Computer Science
  • Comput. Humanit.
  • 1 December 1992
Lexical collocations have particular statistical distributions. We have developed a set of statistical techniques for retrieving and identifying collocations from large textual corpora. TheExpand
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From N-Grams to Collocations: An Evaluation of Xtract
In previous papers we presented methods for retrieving collocations from large samples of texts. We described a tool, X t r a c t , that implements these methods and able to retrieve a wide range ofExpand
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