This paper describes a reader-based experiment on lexical cohesion, detailing the task given to readers and the analysis of the experimental data. We conclude with discussion of the usefulness of the data in future research on lexical cohesion.

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 ...

Automatic Text Summarization has received a great deal of attention in the past couple of decades. It has gained a lot of interest especially with the proliferation of the Internet and the new technologies. Arabic as a language still lacks research in the field of Information Retrieval. In this paper, we explore lexical cohesion using lexical chains for an extractive summarization system for Ar...

This study aims at arousing college students’ metacognition in detecting lexical cohesion during online text construction as WordNet served as a lexical resource. A total of 83 students were requested to construct texts through sequences of actions identified as interaction chains in this study. Interaction chains are grouped and categorized as a meaningful entity in order to investigate the st...

Preliminary results from an experimental study of readers’ perceptions of lexical cohesion and lexical semantic relations in text are presented. Readers agree on a common “core” of groups of related words and exhibit individual differences. The majority of relations reported are “non-classical” (not hyponymy, meronymy, synonymy, or antonymy). A group of commonly used relations is presented. The...

In this paper, we attack the problem of forming extracts for text summarization. Forming extracts involves selecting the most representative and significant sentences from the text. Our method takes advantage of the lexical cohesion structure in the text in order to evaluate significance of sentences. Lexical chains have been used in summarization research to analyze the lexical cohesion struct...

A probabilistic segment model combining lexical cohesion and disruption for topic segmentation Identifying topical structure in any text-like data is a challenging task. Most existing techniques rely either on maximizing a measure of the lexical cohesion or on detecting lexical disruptions. A novel method combining the two criteria so as to obtain the best trade-off between cohesion and disrupt...

We are compiling a corpus of Dutch texts annotated with discourse structure and lexical cohesion, containing initially 80 texts from expository and persuasive genres. We are using this resource for corpus-based studies of discourse relations, discourse markers, cohesion, and genre differences. We are also exploring the possibilities of automatic text segmentation and semi-automatic discourse an...

Semiotic interpretation of lexical cohesion is a major research challenge both in theoretical and applied linguistics. From the point of view of usagebased language description, individual lexical units can be roughly characterized by their collocation profiles, i.e., by collections of condensed usage patterns extracted from very large corpora. It is posited that related lexical units tend to s...