Informative texts on the websites may make positive contributions to patient-physician communication and patients' compliance. The readability comprehensibility of information resources Internet is as important content, accuracy, reliability. Access accurate understandable for individuals who want learn about Autism Spectrum Disorder (ASD) will play an role in management ASD. In our study, it w...

Innovative information systems such as content management systems and information brokers are designed to organize a complex mixture of media content – texts, images, maps, videos, . . . – and to present it through domain specific conceptual models, for example, on sports, stock exchange, or art history. In this paper we extend the currently dominating computational container models into a cohe...

one of the problems of learners that often impairs learning a second language is syntactic errors. therefore, the present study investigates the syntactic errors of arab speakers learning persian. this research is based on contrastive analysis approach. in this article, interlingual syntactic errors committed in learner’s writings are studied, using field method and through a content analysis o...

Content-dense news report important factual information about an event in direct, succinct manner. Information seeking applications such as information extraction, question answering and summarization normally assume all text they deal with is content-dense. Here we empirically test this assumption on news articles from the business, U.S. international relations, sports and science journalism d...

In this paper, we describe some new visualization methods for email threads. The methods concatenate initial message texts, or full texts shorn of extraneous material, into logical groupings embedded in, or closely aligned with, thread structure representations. The results are intended to provide useful thread overviews, and to enable coherent, efficient reading of thread content.

Research in information retrieval has traditionally concentrated on making assumptions about the content of documents based on very shallow semantic analysis through word occurrence statistics of various kinds. But texts are more than bags of words, and the semantic analysis information retrieval systems typically used is overly simple. There is ample reason to try to broaden the view of what t...

To produce multimedia encyclopedic content, we propose a method to search the Web for images associated with a specific word sense. We use text in an HTML file which links to an image as a pseudocaption for the image and perform text-based indexing and retrieval. We use term descriptions in a Web search site called “CYCLONE” as queries and correspond images and texts based on word senses.