This paper describes the NMSU-Pitt-UNCA word-sense disambiguation system participating in the Senseval-3 English lexical sample task. The focus of the work is on using semantic class-based collocations to augment traditional word-based collocations. Three separate sources of word relatedness are used for these collocations: 1) WordNet hypernym relations; 2) cluster-based word similarity classes...

In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method comprises the following stages: (1) extracting strings of characters as units of collocations, and (2) extracting recurrent combinations of strings as collocations. Through this method, various types of domain-specific collocations can be retrieved simultaneously. This method is pr...

Much interest has recently been directed toward the knowledge of collocations in the field of second language learning since they have been asserted to improve fluency. The current study was intended to examine the effect of verbal and visuospatial working memory spans on the processing of collocations using a Self-Pace Reading Task (SPRT) and relevant working memory tasks. To this end, partici...

Statistical-based collocation extraction approaches suffer from (1) low precision rate because high co-occurrence bi-grams may be syntactically unrelated and are thus not true collocations; (2) low recall rate because some true collocations with low occurrences cannot be identified successfully by statistical-based models. To integrate both syntactic rules as well as semantic knowledge into a s...

This paper provides a specification of requirements for collocation extraction systems, taking as an example the extraction of noun + verb collocations from German texts. A hybrid approach to the extraction of habitual collocations and idioms is presented, aiming at a detailed description of collocations and their morphosyntax for natural language generation systems as well as to support learne...

In this paper we describe some interactions between collocations and automatic text categorization. First, we use the differents categories to extract strings (through collocations agglutinations) related to each categorie. Then we use these categories-specific strings to improve categorization. MOTS-CLÉS : collocations, catégorisation automatique de textes.

In this paper, we describe an algorithm that employs syntactic and statistical analysis to extract bilingual collocations from a parallel corpus. The preferred syntactic patterns are obtained from idioms and collocations in a machine-readable dictionary. Phrases matching the patterns are extract from aligned sentences in a parallel corpus. Those phrases are subsequently matched up via cross-lin...

The main aim of the ET-10/?5 project, 'Collocations and the Lexicalisation of Semantic Operations '1, is to evaluate the use of Mel'~uk's analysis of collocations in terms of lexical functions 2, as an interlingun device in a machine translation system. In this poster we only point out the main design issues involved in encoding the essential parts of this analysis in an HPSG-style framework. O...