نتایج جستجو برای: contrastive analysis

تعداد نتایج: 2826685  

Journal: :The Computer Science Journal of Moldova 2014
Neculai Curteanu Mihai Alex Moruz Cecilia Bolea Andrei Scutelnicu

This paper is made up of two parts: the first part continues the theoretical investigations on Information Structure (IS), linguistic, and computational approaches suitable to provide solutions to the prosody prediction problem of Implicit Contrastive Focus (ICF) concept, introduced in our previous papers. ICF is meant to be the particular case but also the counterpart of the classical category...

Journal: :research in applied linguistics 2010
ali roohani maryam esmaeili

it holds true that a flourishing fieldof contrastive rhetoric (cr) research has begun to address theway various text types and/or genres may differ across culturesand languages (corner, 1996).  very much in line withthis development, this study was an attempt to characterizethe linguistic structures of headlines in the sports section of 2 english newspapers: one non-iranian (the times) and one ...

2013
Kyuwon Moon Meghan Sumner

This study investigates the process of generalizing a learned sub-lexical contrast across speakers of different non-native accents of English. We examine the generalization of a novel cue (voicing-cued release) that is non-contrastive in English, but contrastive in the manipulated speech of our L2 speakers of English, to a speaker with the same or different L1 as our training speakers (Exp. 1)....

2010
ULLA CONNOR

Contrastive rhetoric examines differences and similarities in writing across cultures. Although mainly concerned with student essay writing in its Ž rst 30 years, the area of study today contributes to knowledge about preferred patterns of writing in many English for speciŽ c purposes situations. This article discusses some of the new directions contrastive rhetoric has taken. Following a brief...

Journal: :International journal of academic research in business & social sciences 2021

Journal: :Entropy 2016
Xuesi Ma Xiaojie Wang

This paper studies contrastive divergence (CD) learning algorithm and proposes a new algorithm for training restricted Boltzmann machines (RBMs). We derive that CD is a biased estimator of the log-likelihood gradient method and make an analysis of the bias. Meanwhile, we propose a new learning algorithm called average contrastive divergence (ACD) for training RBMs. It is an improved CD algorith...

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