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...

A system allowing extractive automatic summarization of textual documents is presented. The system is based on the cohesive properties of text, namely lexical chains, co-reference chains and named entity chains. In this way the system extend the well known lexicalchaining paradigm for summarization. The system has been applied to summarization tasks on Spanish agency news. Results of its evalua...

There are at least two stages of text generation. One is generating the content of the text. The other is generating the language that represents and communicates the content (Thompson 1977). These two stages, though interrelated, have their owta sets of interesting problems and principles. The first stage, generating the semantic content of the text, involves motivating, planning and creating ...

Sentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate a text in a conventional sentence-by-sentence fashion, ignoring such cross-sentence links and dependencies. This may lead to generate an incohesive and incoherent target text for a cohesive and coherent source text. ...

SYNDIKATE comprises a family of natural language understanding systems for automatically acquiring knowledge from real-world texts (e.g., information technology test reports, medical finding reports), and for transferring their content to formal representation structures which constitute a corresponding text knowledge base. We present a general system architecture which integrates requirements ...

We propose an efficient text summarization technique that involves two basic operations. The first operation involves finding coherent chunks in the document and the second operation involves ranking the text in the individual coherent chunks and picking the sentences that rank above a given threshold. The coherent chunks are formed by exploiting the lexical relationship between adjacent senten...

Users of educational hypertext are faced with the challenge of creating meaning both within and between texts. Cohesion is an important factor contributing to whether a reader is able to capture meaning and comprehend text. When readers are required to fill in conceptual gaps in text, comprehension can fail if they do not have sufficient knowledge. Cohesion helps low-knowledge readers to create...

This paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability. We evaluate the efficiency of these variables across narrative and informative texts intended for an audience of L2 French learners. In our experiments, we use a French corpus that has been both manually and automatically annotated ...

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...