Automated indexing of MEDLINE citations remains a challenging problem due to the growing volume of citations and the over 27,000 MeSH indexing terms that can be assigned to them. This paper presents a corpus-based approach to improving indexing for specific journals. The Vocabulary Density approach takes into account frequencies of indexing terms previously assigned to a journal when recommendi...

We first describe a number of inter-related issues that need to be considered by the researcher when comparing frequencies of linguistic features in two or more corpora. We then describe the chi-squared and log-likelihood tests used in previous research for the comparison of word frequencies. Our focus, in this paper, is on the issue of reliability of the statistical tests, and we describe simu...

this study was an attempt to investigate the realization of catford’s shifts in the farsi translation of english psychology texts, a product-oriented point of view, shedding light on the areas farsi is different english. inspired by a study conducted by khorshidi (2010), the two questions raised in the study sought to detect the kinds of shifts applied in the translation of english psychology t...

In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20 Newsgroups, OHSUMED, and Reuters-21578 text corpora. The datasets were generated to possess particular category skew characteristics (i.e., the number of documents assigned to each category). Our objective was to dete...

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically s...

Using NIRS, we investigated brain activity in subjects searching for target characters in given text. Visual stimuli consisted of two different contrasts: positive and negative. Both stimuli were displayed for 30 sec on a cathode-ray tube (CRT: 21 inches). The subjects were instructed to watch a visual display on the CRT. This display included text without meaning. When target characters were d...

We describe two systems for text simplification using typed dependency structures, one that performs lexical and syntactic simplification, and another that performs sentence compression optimised to satisfy global text constraints such as lexical density, the ratio of difficult words, and text length. We report a substantial evaluation that demonstrates the superiority of our systems, individua...

The present study investigated the relationship between verbal and visuospatial working memory (WM) capacity and long-range regression (i.e., word relocation) processes in reading. We analyzed eye movements during a "whodunit task", in which readers were asked to answer a content question while original text was being presented. The eye movements were more efficient in relocating a target word ...

Automatic web page classification plays an essential role in information retrieval, web mining and web semantics applications. Web pages have special characteristics (such as HTML tags, hyperlinks, etc....) that make their classification different from standard text categorization. Thus, when applied to web data, traditional text classifiers do not usually produce promising results. In this pap...

In this paper we study the effects of Spatial Coding (Murray, Kennedy, 1987; Kennedy, 1992) on the way readers process semantic information while searching for a target in multimodal (textimage) documents. Our aim is to understand how spatial indexes are used by readers in information retrieval tasks, and what are the interactions between semantic distance and spatial distance. We present an ey...