abstract the aim of this study was threefold: (1) to investigate the relationship between knowledge of semantic prosody and efl learners general language proficiency; (2) to examine the relationship between qualitative as well as quantitative knowledge of words, and (3) to compare the performance of efl learner on receptive and productive measures of semantic prosody. the study is based on a...

The development of indoor Location-Based Services faces various challenges that one of which is the method of generating indoor routing graph. Due to the weaknesses of purely geometric methods for generating indoor routing graphs, a semantic-geometric method is proposed to cover the existing gaps in combining the semantic and geometric methods in this study. The proposed method uses the CityGML...

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

The present study tends to investigate the relation between the complexity and semantic distance of Icons and their Effectiveness in searching module of Simorgh, Azarakhsh and Nika applications. Following a correlational survey, the participants of this research consisted of two groups: specialists and end-users. The former consisted of 30 PhD in Knowledge and Information Science, and the latte...

Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...

Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...