This study aimed to explore the function and frequency of textual metadiscourse markers (MDMs) in scientific English and Persian texts. Based on the qualitative and quantitative analysis of textual markers characterizing the selected genre, four different textbooks, two written in English and two in Persian were analyzed to identify the textual metadiscourse categories (including logical marker...

in any discourse domain, certain chunks are particularly frequent and deserve attention by the novice to be initiated and by the expert to maintain a sense of community. to make a relevant contribution to the awareness about applied linguistics texts and discourse, this study attempted to develop lists of lexical chunks frequently used in the abstracts of applied linguistics journals. the abstr...

Vedo-Vedi consists of a visual language and software that supports editing, viewing, and sending visual messages written in the language. Its purpose is to enable 8-15 year old children to communicate visually through the Internet without their having to read or write a common textual language. Novel aspects of this system include its frame-based syntax and semantics, an underlying machine repr...

Various information extraction (IE) systems for corporate usage exist. However, none of them target the product development and/or customer service domain, despite significant application potentials and benefits. This domain also poses new scientific challenges, such as the lack of external knowledge resources, and irregularities like ungrammatical constructs in textual data, which compromise s...

Textual CBR applications address issues that have traditionally been dealt with in the Information Retrieval community, namely the handling of textual documents. As CBR is a knowledge-based technique, the question arises where items of knowledge may come from and how they might contribute to the implementation of a Textual CBR system. In this paper, we will show how various pieces of knowledge ...

This paper presents an approach to computer-assisted teaching of reading abilities using corpus data. The approach is supported by a set of tools for automatically selecting and classifying texts retrieved from the Internet. The approach is based on a linguistic model of textual cohesion which describes relations between larger textual units that go beyond the sentence level. We show that textu...

Feature maximization is a cluster quality metric which favors clusters with maximum feature representation as regard to their associated data. This metric has already been successfully exploited, altogether, for defining unbiased clustering quality indexes, for efficient cluster labeling, as well as for substituting to distance in the clustering process, like in the IGNGF incremental clustering...

This study aimed to explore the function and frequency of textual metadiscourse markers (MDMs) in scientific English and Persian texts. Based on the qualitative and quantitative analysis of textual markers characterizing the selected genre, four different textbooks, two written in English and two in Persian were analyzed to identify the textual metadiscourse categories (including logical marker...

OBJECTIVES Foundational elements of problem based learning (PBL) are triggers, tutors and students. Ineffective triggers are important issues for students' inability to generate appropriate learning issues. The objective of this study was to evaluate PBL triggers and to determine similarities of students' generated learning issues with predetermined faculty objectives. METHODS It was a retros...