Following innovations in intelligence and its radical changes from a unitary concept (IQ) to a multi-dimensional conceptualization, i.e. multiple intelligences and the need to design classroom activities based on the L2 learners’ cognitive styles, this study examined the impact of linguistic intelligence and emotional intelligence on the reading comprehension ability of the Iranian EFL learners...

We study an approximate version of q-query LDCs (Locally Decodable Codes) over the real numbers and prove lower bounds on the encoding length of such codes. A q-query (α, δ)approximate LDC is a set V of n points in R so that, for each i ∈ [d] there are Ω(δn) disjoint q-tuples (u1, . . . ,uq) in V so that span(u1, . . . ,uq) contains a unit vector whose i’th coordinate is at least α. We prove ex...

High degree of between-rater variability in pronunciation assessment is often reported in literature. However, human assessments of pronunciation skills of second language (L2) learners are used in standardized languageproficiency tests. Besides, these scores are used as a reference point in evaluating computer-based systems for pronunciation teaching and testing. Therefore it is important to b...

Abstract – In this paper, which is the first part in a series of three, a formal theory and construction methods for low-density convolutional (LDC) codes (including turbo-codes) are presented. The principles of iterative decoding of LDC codes are formulated, and an iterative algorithm for decoding of homogeneous LDC codes is described. Some simulation results are also presented. In the followi...

Information about words--their pronunciation, syntax and meaning--is a crucial and costly part of human language technology. Many questions remain about the best way to express and use such lexical information. Nevertheless, much of this information is common to all current approaches, and therefore the effort to collect it can usefully be shared. The Linguistic Data Consortium (LDC) has undert...