Lexical representation of gender: a quasiregular domain.

Gender Representation of Emotions in the Novel A Hero of Our Time by Mikhail Lermontov

The article deals with emotions represented through images of the characters of M.Y. Lermontov’s novel A Hero of Our Time. The author consecutively analyzes elements of the text, in which emotions of male and female characters are nominated, directly expressed and described. The number of lexical units and text elements involved in the representation of a particular emotion is recorded in...

The Effect of Semantic Transfer on Iranian EFL Learners’ Lexical Representation and Processing

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...

Decomposition and Admissibility for the Quasiregular Representation for Generalized Oscillator Groups

We analyze the co-normally induced quasiregular representation for two families of Lie groups: the 2d-oscillator groups N!SO(2d) where N is the free two-step nilpotent group on 2d generators, and the dilated 2d-oscillator groups N ! (SO(2d)× R+). We construct irreducible decompositions in both cases with explicit spectrum and intertwining operators, and in both cases we prove a Caldéron-type ad...

Deep Unsupervised Domain Adaptation for Image Classification via Low Rank Representation Learning

Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...