the aim of this research is to study the relations between personality types (introverted and extroverted), intelligence, sexuality and semantic conditioning. for this purpose, 94 subjects were selected through systematic random sampling from among the students of the first and second semesters of psychology at islamic azad university of roudhen. eysenck personality test and raven iq test were ...

The article uses the concept of silence as one fundamental principles human existence, which covers characteristics being, time, movement, analyzes development contextual lexical-semantic and stylistic nuances word in language Lesia Ukrainka. Taking into account common lexicographical interpretations token, expansion its semantic potential poetic texts is traced, formation positive emotional ne...

The emergence of the Linked Data movement offers music collections with the potential to change how they structure and share their data[1]. The ability to use Linked Data to combine music metadata with other information sources offers rich semantic possibilities for both access to and promotion of music, and provides considerable scope for music collections to remodel their data in a way which ...

This paper claims that tokoro-relatives in Japanese should be analyzed as involving an E-type pronoun, rather than backward control or movement. The arguments come from (i) quantifier scope, (ii) the maximality effect , (iii) negative quantifiers, (iv) split antecedents, and (v) tokoro-relative clauses without an explicit head. It also proposes a compositional semantic analysis of the tokoro-re...

SEKE is a semantic expectation-based knowledge extraction system for extracting causation knowledge from natural language texts. It is inspired by human behavior on analyzing texts and capturing information with semantic expectations. The framework of SEKE consists of different kinds of generic templates organized in a hierarchical fashion. There are semantic templates, sentence templates, reas...

Objectives: Semantic Feature Analysis was designed to improve lexical retrieval of aphasic patients via activation of semantic networks of the words. In this approach, the anomic patients are cured with semantic information to assist oral naming. The purpose of this study was to examine the effects of Semantic Feature Analysis treatment on anomia of two nonfluent aphasic patients. Methods: A...

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...