Abstract
Coh-Metrix provides indices for the characteristics of texts on multiple levels of analysis, including word characteristics, sentence characteristics, and the discourse relationships between ideas in text. Coh-Metrix was developed to provide a wide range of indices within one tool. This chapter describes Coh-Metrix and studies that have been conducted validating the Coh-Metrix indices. Coh-Metrix can be used to better understand differences between texts and to explore the extent to which linguistic and discourse features successfully distinguish between text types. Coh-Metrix can also be used to develop and improve natural language processing approaches. We also describe the Coh-Metrix Text Easability Component Scores, which provide a picture of text ease (and hence potential challenges). The Text Easability components provided by Coh-Metrix go beyond traditional readability measures by providing metrics of text characteristics on multiple levels of language and discourse.
| Original language | English (US) |
|---|---|
| Title of host publication | Applied Natural Language Processing |
| Subtitle of host publication | Identification, Investigation and Resolution |
| Publisher | IGI Global |
| Pages | 188-205 |
| Number of pages | 18 |
| ISBN (Print) | 9781609607418 |
| DOIs | |
| State | Published - 2011 |
ASJC Scopus subject areas
- Computer Science(all)