We examine the problem of authorship attribution in collaborative documents. We seek to develop new deep learning models tailored to this task. We have curated a novel dataset by parsing Wikipedia’s edit history, which we use to demonstrate the feasiblity of deep models to multi-author attribution at the sentence-level. Though we attempt to formulate models which learn stylometric features base...

This paper presents speech-driven Web retrieval models which accepts spoken search topics (queries) in the NTCIR-3 Web retrieval task. We experimentally evaluate the techniques of combining outputs of multiple LVCSR models with a language model(LM) with a 60,000 vocabulary size in recognition of spoken queries. As model combination techniques, we use the SVM learning. We show that the technique...

This study aimed to investigate the effect of visual aids on elementary Iranian EFL learners’ vocabulary learning. To achieve the aim of the study, 60 elementary EFL learners were selected based on their performance on proficiency test. After administering the pretest, the participants of the experimental group received vocabulary visually. The teacher used different kinds of strategies such as...

Brain-derived neurotrophic factor (BDNF) has been suggested to play a major role in plasticity, neurogenesis and learning in the adult brain. The BDNF gene contains a common val66met polymorphism associated with decreased activity-dependent excretion of BDNF and a potential influence on behaviour, more specifically, on motor learning. The objective of this study was to determine the influence o...

Abstract This article examines the effects of task conditions (i.e., with and without a sentence-writing task), multimedia input (definition only, definition + information, information videos), combinations these two variables on learning gains new words. study involved 2 × 3 research design. In total, 235 Chinese EFL learners were allocated to six conditions. Vocabulary outcomes measured by pr...

A central theme in learning from image data is to develop appropriate representations for the specific task at hand. Traditional methods used handcrafted local features combined with high-level image representations to generate image-level representations. Thus, a practical challenge is to determine what features are appropriate for specific tasks. For example, in the study of gene expression p...

  Abstract The present study aims at analyzing EFL learners’ attitudes towards motivating factors in learning vocab-ulary. A mixed-methods approach was used to conduct the study. In the qualitative analysis, Iranian EFL learners’ attitudes towards learning vocabulary were investigated through a semi-structured interview en-compassing 36 participants. Subsequently, a 56-item ‘motivation for v...

The main objective of the present study was to investigate the differences between Iranian EFL monolinguals and bilinguals in terms of vocabulary language learning strategies. In fact, it was an attempt to investigate whether bilingual/ monolingual learners differ significantly in using vocabulary learning strategies. To this end, 70 EFL, 45 monolingual (Persian) and 25 bilingual (Arabic-Persia...

The purpose of the present study was to investigate the relationship between Iranian EFL learners’ use of vocabulary learning strategies and their autonomy with a focus on the gender. To meet this objective, 82(39 males and 43 females) sophomore and junior students majoring in English Language Teaching who had passed at least 45 credits at Tabriz Azad University, in Iran were asked to take part...