This  qualitative  study  investigates  the  uses  of  be  in  Contemporary  English.  Based  on  this  study, one  easy  claim  and  one  more  difficult  claim  are  proposed.  The  easy  claim  is  that  the  traditional distinction between be as a lexical verb and be as an auxiliary is faulty. In particular, 'copular-be', traditionally considered to be a lexical verb, is in fact a prototypi...

Document clustering is an unsupervised machine learning method that separates a large subject heterogeneous collection (Corpus) into smaller, more manageable, subject homogeneous collections (clusters). Traditional method of document clustering works around extracting textual features like: terms, sequences, and phrases from documents. These features are independent of each other and do not cat...

There exists an increasing body of research demonstrating that language processing is aided by context-based predictions. Recent findings suggest that the brain generates estimates about the likely physical appearance of upcoming words based on syntactic predictions: words that do not physically look like the expected syntactic category show increased amplitudes in the visual M100 component, th...

new epic poetry is a modern version of the mainstream epic tradition whose features have changed to meet the requirements of modern taste. the most outstanding poet in employing this form is ahmad shamloo, one of the most renowned contemporary iranian poets. to highlight the changes in the content and formal linguistic features of the traditional and new forms of epic, the present study compare...

This study examined the acquisition of prenominal and postnominal genitives by Iranian EFL learners. Two variables were considered: possessive categories and language proficiency. We considered the influence of possessive categories such as lexical modifier, semantic relationship, and weight and syntactic complexity on genitive alternations by Iranian EFL learners. Also, we examined whether the...

In this paper, we describe the system we submitted to the SemEval-2012 Lexical Simplification Task. Our system (mmSystem) combines word frequency with decompositional semantics criteria based on syntactic structure in order to rank candidate substitutes of lexical forms of arbitrary syntactic complexity (oneword, multi-word, etc.) in descending order of (cognitive) simplicity. We believe that t...