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Comparing expert and learner mathematical language: A corpus linguistics approach

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conference contribution
posted on 08.12.2016, 14:20 by Lara Alcock, Matthew Inglis, Kristen Lew, Juan P. Mejia-Ramos, Paolo Rago, Christopher J. Sangwin
Corpus linguists attempt to understand language by statistically analyzing large collections of text, known as corpora. We describe the creation of three corpora designed to enable the study of expert and learner mathematical language. Our corpora were formed by collecting and processing three different genres of mathematical texts: mathematical research papers, undergraduate-level textbooks, and undergraduate dissertations. We pay particular attention to the method by which our corpora were created, and present a mechanism by which LaTeX source files can be easily converted to a form suitable for use with corpus analysis software packages. We then compare these three different types of mathematical texts by analyzing their word frequency distributions. We find that undergraduate students write in remarkably similar ways to textbook authors, but that research papers are substantially different. These differences are discussed.

History

School

  • Science

Department

  • Mathematics Education Centre

Published in

The XX Annual Conference on Research on Undergraduate Mathematics Education

Citation

ALCOCK, L. ...et al., 2017. Comparing expert and learner mathematical language: A corpus linguistics approach. Presented at the Twentieth Annual Conference on Research on Undergraduate Mathematics Education, San Diego, February 23-25th.

Publisher

Special Interest Group of the Mathematical Association of American on Research in Undergraduate Mathematics Education (SIGMAA on RUME)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/11/2016

Publication date

2017

Notes

This is a conference paper.

Language

en

Location

San Diego

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