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...

In this paper, we propose a stand-alone mobile visual search system based on binary features and the bag-ofvisual words framework. The contribution of this study is three-fold: (1) We propose an adaptive substring extraction method that adaptively extracts informative bits from the original binary vector and stores them in the inverted index. These substrings are used to refine visual word-base...

Probabilistic topic models have been proven very useful for many text mining tasks. Although many variants of topic models have been proposed, most existing works are based on the bag-of-words representation of text in which word combination and order are generally ignored, resulting in inaccurate semantic representation of text. In this paper, we propose a general way to go beyond the bag-of-w...

city of beer *beer city beer’s city biiru-no machi activity Coach of bags bags Coach *bag’s Coach kaban-no Koochi trade park at 3 o’clock *3 o’clock park *3 o’clock’s park 3-ji no koen time relative in Tokyo Tokyo relative *Tokyo’s relative Tokyo-no shinseki location face of Peter *Peter face Peter’s face Peter-no kao part-whole bag of Peter *Peter bag Peter’s bag Peter-no kaban possession Engl...

Thisstudy sought to evaluate the learners' achievements with the visual learning style when exposed to the sentence making and word list approaches. On that account, 45 basic level participants who studied at the Iran Language Institute (ILI), Bushehr, took part in this research study. At the outset, the learners were given Barsch learning style inventory (1991) to determine the learners' learn...

This report describes the suicidality prediction models created under the DARPA DCAPS program[7]. The models were built primarily from unstructured text (freeformat clinician notes) for several hundred patient records obtained from the Veterans Health Administration (VHA). The models were constructed using a genetic programming algorithm applied to bag-of-words and bag-of-phrases datasets. The ...

Word recognition systems use a lexicon to guide the recognition process in order to improve the recognition rate. However, as the lexicon grows, the computation time increases. In this paper, we present the Arabic word descriptor (AWD) for Arabic word shape indexing and lexicon reduction in handwritten documents. It is formed in two stages. First, the structural descriptor (SD) is computed for ...

Bag-of-words document representations are often used in text, image and video processing. While it is relatively easy to determine a suitable word dictionary for text documents, there is no simple mapping from raw images or videos to dictionary terms. The classical approach builds a dictionary using vector quantization over a large set of useful visual descriptors extracted from a training set,...