This paper presents the results of a preliminary investigation into the use of statistical collocation as a method for discovering characteristic properties of grammatical classes (i.e. part-of-speech categories such as noun, adjective, verb, and so on). In particular, the focus of the current investigation is the collocational patterns found around adpositions in English and Nepali. The claim ...

A new type of thesaurus for word processing is proposed. It comprises 7 semantic and 8 syntagmatic types of links between Russian words and collocations. The original version now includes ca. 76,000 basic dictionary entries, 660,000 semantic and 292,000 syntagmatic links, English interface, and communication with any text editor. Methods of delivery enriching are used based on generic and synon...

For extracting collocations from the Internet, it is necessary to numerically estimate the cohesion between potential collocates. Mutual Information cohesion measure (MI) based on numbers of collocate occurring closely together (N12) and apart (N1, N2) is well known, but the Web page statistics deprives MI of its statistical validity. We propose a family of different measures that depend on N1,...

The usefulness of a statistical approach suggested by Church and Hanks (1989) is evaluated for the extraction of verb-noun (V-N) collocations from German text corpora. Some motivations for the extraction of V-N collocations from corpora are given and a couple of differences concerning the German language are mentioned that have implications on the applicability of extraction methods developed f...

We participated in the SemEval-2007 coarse-grained English all-words task and fine-grained English all-words task. We used a supervised learning approach with SVM as the learning algorithm. The knowledge sources used include local collocations, parts-of-speech, and surrounding words. We gathered training examples from English-Chinese parallel corpora, SEMCOR, and DSO corpus. While the fine-grai...

Term Extraction, a key data preparation step in Text Mining, extracts the terms, i.e. relevant collocation of words, attached to specific concepts (e.g. genetic-algorithms and decisiontrees are terms associated to the concept “Machine Learning” ). In this paper, the task of extracting interesting collocations is achieved through a supervised learning algorithm, exploiting a few collocations man...

Although corpora and corpus linguistics have been applied for quite long in foreign second language settings, there is still limited understanding about how EFL learners use tools along with dictionaries to enhance their collocation knowledge. This study aims gain insight into the effectiveness of corpus-based pedagogy comparison conventional vocabulary teaching methods, particularly using dict...

Purpose This study aims to examine the effects of using mobile translation applications for translating collocations. Design/methodology/approach The followed an experimental design where 47 students English as foreign language in a Saudi university were randomly categorized into two groups. Both groups given task consisting 30 sentences with fixed, medium-strength and weak participants group (...