Words are typically encountered in the context of a sentence. Recent studies suggest that the contexts in which a word typically appears can a!ect the way it is recognized in isolation. We distinguish two types of context: collocational, involving speci"c lexical items, and syntactic, involving abstract syntactic structures. We investigate the e!ects of syntactic context using the distribution ...

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...

The focus of this work is statistical idiosyncrasy (or collocational weight) as a discriminant property of multiword expressions. We formalize and model this property, compile a 2-class dataset of MWE and non-MWE examples, and evaluate our models on this dataset. We present a possible empirical implementation of collocational weight and study its effects on identification and extraction of MWEs...

Word reading is heavily influenced by the information provided by previous context. In this study, we analyzed the neurophysiological bases of sentence reading through the EEG activity elicited during reading the same word embedded in differently constraining contexts: a) a low-constraining context; b) a high-constraining semantic compositional context; c) a high-constraining collocational cont...

ryone is fighting a fierce rearguard action struggling towards the objective of a discrete syntactic classes, all the while being forced by practical necessity to move closer and closer toward an analysis of relationships whenever they want to get anything done. Everyone is still trying to find relationships of classes rather than classes of relationships. In n-gram models relationships are use...

Collocational word similarity is considered a source of text cohesion that is hard to measure and quantify. The work presented here explores the use of information from a training corpus in measuring word similarity and evaluates the method in the text segmentation task. An implementation, the VecTile system, produces similarity curves over texts using pre-compiled vector representations of the...

This study investigates the often subtle and at times blatant presence of misogynistic language in our daily lives. queried News on Web (NOW) corpus to conduct an appraisal collocational behavior lemmas woman man. Furthermore, by using network graphs, we expand analysis collocations beyond traditional approaches which helped provide lexical evidence stereotypical constructions. work also intend...

This paper is concerned with the ability of lexical semantic classes to predict the behavior of argument structures in productively selecting novel lexical material. It will be argued that while lexical semantic classes can explain a great deal about the spectrum of potential arguments and resulting entailments for those arguments, constructions which are synonymous from a formal semantic persp...

One of the main problems for applied natural language processing is gaps in the lexicon, including missing words and word senses, and inadequate descriptions of word use in context. Traditional lexicography has similar concerns. The availability of large, on-line text corpora provides a straightforward tool for enlarging the stock of words included in a lexicon. The identification of additional...