Advances in computational linguistics and discourse processing have made it possible to automate many language- and text-processing mechanisms. We have developed a computer tool called Coh-Metrix, which analyzes texts on over 200 measures of cohesion, language, and readability. Its modules use lexicons, part-of-speech classifiers, syntactic parsers, templates, corpora, latent semantic analysis,...

We present a domain-independent unsupervised topic segmentation approach based on hybrid document indexing. Lexical chains have been successfully employed to evaluate lexical cohesion of text segments and to predict topic boundaries. Our approach is based in the notion of semantic cohesion. It uses spectral embedding to estimate semantic association between content nouns over a span of multiple...

In this study it is proven that the Hrebs used in Denotation analysis of texts and Cohesion Chains (defined as a fusion between Lexical Chains and Coreference Chains) represent similar linguistic tools. This result gives us the possibility to extend to Cohesion Chains (CCs) some important indicators as, for example the Kernel of CCs, the topicality of a CC, text concentration, CCdiffuseness and...

This paper describes a new method, called IClustSeg, for linear text segmentation by topic using an incremental overlapped clustering algorithm. Incremental algorithms are able to process new objects as they are added to the collection and, according to the changes, to update the results using previous information. In our approach, we maintain a structure to get an incremental overlapped cluste...

Our summarization approach is based on the assumption that quality of the summary is influenced by a set of factors, dependent on lexical and grammatical features of text units selected and arranged while composing the summary. The system has been developed with taking into account six factors influencing the final quality: compliance with the genre "summary", relevance, focusing, compliance wi...

to study the causes of difficulties in understanding the german short story bypersian learners from the perspective of text linguistics first we have searchedthe factors of cohesion and coherence in german texts in a short story. then wehave checked its translations by the students and observed that these people arefamiliar with the grammatical structure of each sentence and the vocabulary ofth...

It is a widely accepted fact that coherence enables a text’s comprehensibility. A major source of coherence is discourse cohesion (textual properties of the text). Lexical cohesion (e.g. synonymy) and discourse connectives are two major types of discourse cohesion. We investigate the contribution of these two types of cohesion to the overall comprehension of bi-clausal sentences in Turkish. In ...

The Interactive Strategy Trainer for Active Reading and Thinking (iSTART) is an intelligent tutoring system that provides students with automated training on reading strategies. In particular, iSTART trains students to selfexplain target sentences so as to integrate encoded information into a coherent mental representation. The goal of this study was to investigate the relation between text str...

The paper considers interrelations between lexical cohesion and the thematic structure of a text. The technique of automatic construction of the thematic representation of the text contexts is described. The technique uses knowledge from Sociopolitical thesaurus, which was specially developed as a tool for automatic text processing.

Lexical cohesion is an important device for signalling text organisation. In this paper, we investigate to what extent idiomatic expressions participate in the cohesive structure of a text. We look at the problem both from an empirical and a computational perspective. Our results show that both literal and nonliteral expressions exhibit cohesion with their context, though the latter tend to do ...