Cohesion between components of collocations is already acknowledged measurable by means of the Web, and cohesion measurements are used for some applications and extraction of new collocations. Taking a specific cohesion criterion SCI, we performed massive evaluations of collocate cohesion in Oxford Collocations Dictionary. For three groups of modificative collocations (adjectivenoun, adverbad...

This paper deals with the relationship between weblog content and time. With the proposed temporal mutual information, we analyze the collocations in time dimension, and the interesting collocations related to special events. The temporal mutual information is employed to observe the strength of term-to-term associations over time. An event detection algorithm identifies the collocations that m...

We design a three-layered collocation extraction tool by integrating syntactic and semantic knowledge and apply it in China English studies. The tool first extracts peripheral collocations in the frequency layer from dependency triples, then extracts semi-peripheral collocations in the syntactic layer by association measures, and last extracts core collocations in the semantic layer with a simi...

In this paper, we describe a new method for extracting monolingual collocations. The method is based on statistical methods extracts. VN collocations from large textual corpora. Being able to extract a large number of collocations is very critical to machine translation and many other application. The method has an element of snowballing in it. Initially, one identifies a pattern that will prod...

In this paper, I introduce the DICI, an electronic dictionary of Italian collocations designed to support the acquisition of the collocational competence in learners of Italian as a second or foreign language. I briefly describe the composition of the reference Italian corpus from which the collocations are extracted, and the methodology of extraction and filtering of candidate collocations. It...

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...

This paper presents the second participation of the University of Ottawa group in CLEF, the CrossLanguage Spoken Retrieval (CL-SR) task. We present the results of the submitted runs for the English collection and very briefly for the Czech collection, followed by many additional experiments. We have used two Information Retrieval systems in our experiments: SMART and Terrier were tested with ma...