Transformation Lexicon Model Language Model Global

Source Language Text Transformation Lexicon Model Language Model Global

Models of EFL Learners’ Vocabulary Development: Spreading Activation vs. Hierarchical Network Model

Semantic network approaches view organization or representation of internal lexicon in the form of either spreading or hierarchical system identified, respectively, as Spreading Activation Model (SAM) and Hi- erarchical Network Model (HNM). However, the validity of either model is amongst the intact issues in the literature which can be studied through basing the instruction compatible wi...

Code-Copying in the Balochi Language of Sistan

This empirical study deals with language contact phenomena in Sistan. Code-copying is viewed as a strategy of linguistic behavior when a dominated language acquires new elements in lexicon, phonology, morphology, syntax, pragmatic organization, etc., which can be interpreted as copies of a dominating language. In this framework Persian is regarded as the model code which provides elements for b...

Mental Representation of Cognates/Noncognates in Persian-Speaking EFL Learners

The purpose of this study was to investigate the mental representation of cognate and noncognate translation pairs in languages with different scripts to test the prediction of dual lexicon model (Gollan, Forster, & Frost, 1997). Two groups of Persian-speaking English language learners were tested on cognate and noncognate translation pairs in Persian-English and English-Persian directions with...

Incremental Construction of Millstream Configurations Using Graph Transformation

Millstream systems are a non-hierarchical model of natural language. We describe an incremental method for building Millstream configurations while reading a sentence. This method is based on a lexicon associating words and graph transformation rules.