Campus Units

English

Document Type

Article

Publication Version

Published Version

Publication Date

2016

Journal or Book Title

CALICO Journal

Volume

33

First Page

1

Last Page

22

Abstract

This paper reports on the development of the analysis engine for the Research Writing Tutor (RWT), an AWE program designed to provide genre and discipline-specific feedback on the functional units of research article discourse. Unlike traditional NLP-based applications that categorize complete documents, RWT’s analyzer categorizes every sentence in the text as both a communicative move and a rhetorical step. We describe the construction of a cascade of two support vector machine classifiers trained on a multi-disciplinary corpus of annotated Introduction texts. This work not only demonstrates the usefulness of NLP for automated genre analysis, but also paves the road for future AWE endeavors and forms of automated feedback that could facilitate construction of functional meaning in writing.

Comments

This is an article from CALICO Journal 33 (2016). Posted with permission.

Copyright Owner

CALICO Journal

Language

en

File Format

application/pdf

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