Neural Machine translation has shown promising results in recent years. In order to control the computational complexity, NMT has to employ a small vocabulary, and massive rare words outside the vocabulary are all replaced with a single unk symbol. Besides the inability to translate rare words, this kind of simple approach leads to much increased ambiguity of the sentences since meaningless unk...

  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 purpose of the present study was to identify any significant relationship between critical thinking ability, L2 vocabulary knowledge, and L2 vocabulary learning strategies of Iranian EFL learners. To this aim, the productive vocabulary levels test was administered to measure the learner’s L2 vocabulary knowledge and observe homogeneity in terms of vocabulary knowledge. At the second stage, ...

This study aimed to investigate whether there is any significant relationship between the readability and vocabulary profile including the most frequent words (K1 words) and academic word list (AWL) of reading passages of Four Corners series which were EFL textbooks. To determine the readability of the texts, the Flesch–Kincaid (1975) readability test was used, while the texts' academic word li...

Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised manner, and to use this object distribution to perform scene classification. We achieve this discovery using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature, here ap...

This study investigated the relationship between teaching L2 semantic tasks (collocation vs. definition) in vocabulary achievement of Iranian intermediate EFL learners. To this end, 60 students at intermediate level studying in the Simin Institute were selected from a total number of 100 participants based on their performance on Oxford Placement Test. After ensuring the criterion of homogeneit...

Language modelling in large vocabulary speech recognition has traditionally been based on words. A lexicon of the most common words of the language in question is created and the recogniser is limited to consider only the words in the lexicon. In Finnish, however, it is more difficult to create an extensive lexicon, since the compounding of words, numerous inflections and suffixes increase the ...