This paper describes how to automatically classify the functional relations from the Factotum knowledge base via a statistical machine learning algorithm. This incorporates a method for inferring prepositional relation indicators from corpus data. It also uses lexical collocations (i.e., word associations) and class-based collocations based on the WordNet hypernym relations (i.e., is-subset-of)...

Dissertation Abstract comprise words for which neither word can be substituted by a synonym or hyponym. Potential colloca-tions comprising certain adjacent part-of-speech tags are extracted from text. An online thesaurus and a lexical database of word classes are queried for synonyms and hypo nyms, respectively, for each potential collocation. These queries create potential challenger pairs, su...

the present study aims at investigating the effect of different levels of lexical collocational density on efl learners’ reading comprehension. eighty sophomore students with different levels of proficiency studying at  zand institute of higher education in shiraz, iran were chosen from among eighty five learners based on their score distribution on a reduced toefl test constructed by education...

Collocational deficiency is a pervasive phenomenon in learner English. Language learners often fail to choose the correct combination of two or more words due to their unawareness of collocational properties in vocabulary. They are apt to adopt lexical simplification strategies such as using a synonymous or Ll-influenced expression. This paper presents a corpus-based study on the collocational ...

This study examined the effects of input-oriented and output-oriented tasks with different involvement load indices on Iranian EFL learners' comprehension and production of lexical collocations. To achieve this purpose, a sample of 180 intermediate-level EFL learners (both male and female) participated in the study. The participants were in six experimental groups. Each of the groups was random...

We argue that lexical association measures (AMs) should be evaluated against a reference set of collocations manually extracted from the full candidate data, and that the notion of collocation needs to be precisely defined so that human collocativity judgments and experimental results are reproducible. We show that identification results achieved by particular AMs do not crucially depend on tex...

CDB is a relational database designed for the particular needs of representing lexical collocations. The relational model is defined such that competence-based descriptions of collocations (the competence base) and actually occurring collocation examples extracted from text corpora (the example base) complete each other. In the paper, the relational model is described and examples for the repre...

The present study aims at investigating the effect of different levels of lexical collocational density on EFL learners’ reading comprehension. Eighty sophomore students with different levels of proficiency studying at  Zand Institute of Higher Education in Shiraz, Iran were chosen from among eighty five learners based on their score distribution on a reduced TOEFL test constructed by Education...

This work focuses on semi-automatic extraction of verb-noun collocations from a corpus, performed to provide lexical evidence for the manual lexicographical processing of Support Verb Constructions (SVCs) in the Swedish-Czech Combinatorial Valency Lexicon of Predicate Nouns. Efficiency of pure manual extraction procedure is significantly improved by utilization of automatic statistical methods ...

Lexical collocations are a fuzzy phenomenon that has not yet been satisfactorily explained by linguistic theory. At the same time, they are important both for understanding the structure of language and for many applications such as lexicography and natural language processing. Corpus-based studies of collocations as well as collocation extraction tools have been influenced by two basic views: ...