Interlanguage pragmatics (ILP) has witnessed a growing body of research in the past two decades. One of the under-explored domains of L2 pragmatics is the role of learning strategies specifically tailored for the development of ILP knowledge. Therefore, this investigation aimed to determine the significant interlanguage pragmatic learning strategies (IPLS) used by high vs. low L2 pragmatic achi...

A statistical generative model for the speech process is described that embeds a substantially richer structure than the HMM currently in predominant use for automatic speech recognition. This switching dynamic-system model generalizes and integrates the HMM and the piece-wise stationary nonlinear dynamic system (statespace) model. Depending on the level and the nature of the switching in the m...

We show that unsupervised part of speech tagging performance can be significantly improved using likely substitutes for target words given by a statistical language model. We choose unambiguous substitutes for each occurrence of an ambiguous target word based on its context. The part of speech tags for the unambiguous substitutes are then used to filter the entry for the target word in the word...

this study was intended first to categorize the l2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the phoneme level, and one at the utterance level, with a phoneme level bagging scheme. We control for many parameters and other choices, such as the state inference scheme used. In an unbiased experiment, we clearly show that...

aims: nowadays, the widespread use of new technologies and the need for more education and expense, force the educational and economical centers to use the new educational approaches. one of these approaches is e-learning. knowledge management seeks to increase the information processing capacity through innovation and creative power of human beings. this paper aimed to investigate the effect o...

this study was an attempt to find out to what extent efl learners at different levels of language proficiency experience inner speech as mental rehearsal and to identify some of the characteristics and functions of their inner speech. for this purpose, one hundred seventy-four iranian female students majoring in english translation at islamic azad university, tehran central branch, took part in...

Emotional speech recognition is the problem of discriminating speech samples by their emotional content. Our solution to this problem lies on three areas: signal processing, computational linguistics, and statistical learning. At signal processing and computational linguistics levels, identification and extraction of speech features is concerned; proposed in this work is a set of acoustic and l...