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The propose of this research was to classify the English as a foreign language (EFL) learners based on their performance on the reading test. Three levels of reading comprehension are customarily defined: (1) Factual level or Reading the lines, (2) Interpretive level or Reading between the lines, and (3) Evaluative level or Reading beyond the lines. Further analyzing and synthesizing factors underlying...
This paper aims to analyze affective expressions in articles of popular science by text mining with the keywords “Cancer” and “Immunity”. This study selects 145 articles from the website of a magazine and segmented them into 410,919 terms. And the study uses an automatic system to classify the terms into vocabulary categories, selecting the affective terms with specific vocabulary categories. The...
The bag-of-visual-words model has been widely utilized for content based image and video retrieval due to its scalability. In this paper, we extend this model for human action video retrieval. We adopt dense trajectory features which are able to achieve the state-of-the-art performance on action recognition, while most of the existing video retrieval methods utilize descriptors of local interest points...
In recent years the technological world has grown by incorporating billions of small sensing devices, collecting and sharing real-world information. As the number of such devices grows, it becomes increasingly difficult to manage all these new information sources. There is no uniform way to share, process and understand context information. In previous publications we discussed efficient ways to organize...
Automatic annotating images by equipment is of great interest as it meets one's common need for retrieving image content. Usually image content description with keywords is regarded as a visual-word correlation process. However, in view of the viewer's psychology, image to words is a kind of cognition process, which depends more on the experience for one to understand what's in an image. In this paper,...
We proposed SMALL (Seamless Mobile-Assisted Language Learning Support System) seeking for seamless language learning in our previous study. In this paper, we describe how far we have developed the system for the realization of seamless learning. As our first step, we aim to support English vocabulary learning, since vocabulary learning is one of the fundamental aspects of language learning. The initial...
While a listener may derive semantic associations for audio clips from direct auditory cues (e.g., hearing “bass guitar”) as well as from “context” (e.g., inferring “bass guitar” in the context of a “rock” song), most state-of-the-art systems for automatic music annotation ignore this context. Indeed, although contextual relationships correlate tags, many auto-taggers model tags independently. This...
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