نتایج جستجو برای: its vocabulary underwent a change
تعداد نتایج: 13838765 فیلتر نتایج به سال:
Abstract The Fairlie-Gumbel-Morgenstern (FGM) family has been investigated in detail for various continuous marginals such as Cauchy, normal, exponential, gamma, Weibull, lognormal and others. It has been a popular model for the bivariate distribution with mild dependence. However, bivariate FGM’s with continuous marginals on a bounded support discussed in the literature are only those with uni...
Abstract We give some adequate extension, in the framework of a general Lévy process, of our previous construction of processes with one-dimensional martingale marginals, done originally in the set-up of Brownian motion. The Lévy process framework allows us to streamline our previous arguments, as well as to reach a larger class of such processes, even in the Brownian case. We give some illustr...
the purpose of this study was to investigate the impact of blended learning and multimedia software on iranian esp students' vocabulary learning. to this end, 120 iranian esp learners were assigned to two groups: the experimental and control groups. the experimental group received instructions through multimedia software while the control group received traditional instructions. the data were c...
This study aimed at examining the relationship between Emotional Intelligence (EI) and learning English language vocabulary. The male (N= 119) and female (N= 98) participants who were randomly selected from high schools in Zanjan Province were asked to complete a Persian version of an emotional intelligence (EI) questionnaire and answer a vocabulary achievement test. The EI questionnaire consis...
the present study aimed at investigating whether vocabulary-learning strategies had any impact on the vocabulary learning of iranian efl learners. the participants of the study were 67 male and female undergraduate university students, majoring in english translation and english literature at islamic azad university, north tehran branch, who were taking “reading comprehension ii” course. in ord...
the present study is a research which explores the relationship between introversion/extroversion and the use of vocabulary learning strategies. the participants were 80 male and female efl students of university of sistan and baluchestan who had studied efl at the university for at least two years and were randomly selected. the participants were selected after excluding those who got l scores...
The search for an imaginative vocabulary that encourages mind and behaviour shifts is not easy task in processes of formulating design trajectories towards profound systems change. At the same time many concerns are embedded larger ecological, social, economical or political systemic crises call generating change across multiple dimensions. A prolonged terminology when describing theoretical pr...
The vocabulary of a continuous speech recognition (CSR) system is a significant factor in determining its performance. In this paper, we present three principled approaches to select the target vocabulary for a particular domain by trading off between the target out-of-vocabulary (OOV) rate and vocabulary size. We evaluate these approaches against an ad-hoc baseline strategy. Results are presen...
Involvement Load Hypothesis (ILH) and Technique Feature Analysis (TFA) are two frameworks which operationalize depth of processing of a vocabulary learning task. However, there is dearth of research comparing the predictive power of the ILH and the TFA across second language (L2) vocabulary learning tasks. The present study, therefore, aimed to examine this issue across four vocabulary learning...
Involvement Load Hypothesis (ILH) and Technique Feature Analysis (TFA) are two frameworks which operationalize depth of processing of a vocabulary learning task. However, there is dearth of research comparing the predictive power of the ILH and the TFA across second language (L2) vocabulary learning tasks. The present study, therefore, aimed to examine this issue across four vocabulary learning...
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