Abstract This study focused mainly on the shifts of the grammatical cohesion in texts translated from English into Persian. It aimed to identify the grammatical cohesive devices (GCDs) in ST and TT separately, based on Halliday and Hassn's Model (1976), determine the number of occurrences of GCDs in two texts and finally, illustrate types of shifts of grammatical cohesion and strategies used in...

This paper presents the 2006 participation of the PUCRS-PLN Group in CLEF Monolingual Ad Hoc Task for Portuguese. We participated with the TR+ Model based on nominalization, binary lexical relations (BLR), Boolean queries, and the evidence concept. Our alternative strategy for lexical normalization, the nominalization, is the transformation of a word (adjective, verb, or adverb) into a semantic...

This study investigates how cohesion manifests in readers’ thought processes while reading texts when they are instructed to engage in self-explanation, a strategy associated with deeper, more successful comprehension. In Study 1, college students (n = 21) were instructed to either paraphrase or self-explain science texts. Paraphrasing was characterized by greater cohesion in terms of lexical o...

The purpose of this paper is to provide a detailed analysis of how lexical differences related to cohesion and connectionist models can distinguish first language (L1) writers of English from second language (L2) writers of English. Key to this analysis is the use of the computational tool Coh-Metrix, which measures cohesion and text difficulty at various levels of language, discourse, and conc...

In this paper we propose a course-grained NLP approach to text segmentation based on the analysis of lexical cohesion within text. Most work in this area has focused on the discovery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e. distinct news stories from broadcast news programmes. Our sy...

In this paper we compare the performance of three distinct approaches to lexical cohesion based text segmentation. Most work in this area has focused on the discovery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e. distinct news stories from broadcast news programmes. Our approach to news s...

Abstract This study focused mainly on the shifts of the grammatical cohesion in texts translated from English into Persian. It aimed to identify the grammatical cohesive devices (GCDs) in ST and TT separately, based on Halliday and Hassn's Model (1976), determine the number of occurrences of GCDs in two texts and finally, illustrate types of shifts of grammatical cohesion and strategies used in...