We perform a quantitative analysis of data in a corpus that specialises on summarisation for Evidence Based Medicine (EBM). The intent of the analysis is to discover possible directions for performing automatic evidence-based summarisation. Our analysis attempts to ascertain the extent to which good, evidence-based, multidocument summaries can be obtained from individual single-document summari...

Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to their low efficiency by first recognizing various types of graphical primitives and then content-oriented texts. A new method for directly detecting texts from line drawing images is proposed in this paper. We first decompose a draw...

In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images. The framework is based on Faster R-CNN [1] architecture. First, we use the Region Proposal Network (RPN) to generate axis-aligned bounding boxes that enclose the texts with different orientations. Second, for each axis-aligned text box proposed by RPN, we...

The purpose of the study was to examine the effects of two instructional approaches designed to improve the reading fluency of 2nd-grade children. The first approach was based on Stahl and Heubach's (2005) fluency-oriented reading instruction (FORI) and involved the scaffolded, repeated reading of grade-level texts over the course of each week. The second was a wide-reading approach that also i...

We aim at carrying out an empirical study to clarify if texts checked with a controlled language (CL) checker are indeed more translatable than other texts which are not compliant with the CL rule set, evaluating thus the degree of success of the application of such a restricted language with regard to its machine oriented features. For such an evaluation we adapt the FEMTI-Framework (Hovy et a...

The accessibility of video technology has made it possible to utilize both the auditory and visual channels to present listening texts in the second language (L2) classroom and on L2 listening tests. However, there has been little research investigating the extent to which L2 listeners actually watch the video monitor when presented with a listening video text. The current study investigated te...

In recent years, there has been a surge of interest in the Object-Oriented (OO) methodology in the analysis and design of a system. Employers are looking for graduates with OO knowledge. The change is also seen in the Systems Analysis and Design texts, which are increasingly adapting OO concepts and the Unified Process of systems development. However, there is a dilemma of how to best fit the O...

this paper reviews the literature on the translation of 'doublets'and reports a product-oriented descriptive study on the translation of doublets in the corpus of study, three persian books translated into english: bizhun & manizha (an epic poetry), selected poems divan-e from shams-e tubrizi and man and his destiny (a religious text). these books vary in genre and cover a lime span o...

Automatic machine reading of texts in scenes is largely restricted by the poor character recognition accuracy. In this paper, we extend the Histogram of Oriented Gradient (HOG) and propose two new feature descriptors: Cooccurrence HOG (Co-HOG) and Convolutional Co-HOG (ConvCo-HOG) for accurate recognition of scene texts of different languages. Compared with HOG which counts orientation frequenc...

Supporting multiple languages and natural language processing are of high importance in information systems. This paper discusses software tools for the generation of languages processors (LPs) for the natural inflected languages. The tools are implemented in the LP generator DUAL, which allows for formal specification and reusability of developed components. The declarative language Dual is us...