An Analysis and Visualization Tool for Case Study Learning of Linguistic Concepts

Cecilia Ovesdotter Alm, Benjamin Meyers, Emily Prud’hommeaux


Abstract
We present an educational tool that integrates computational linguistics resources for use in non-technical undergraduate language science courses. By using the tool in conjunction with evidence-driven pedagogical case studies, we strive to provide opportunities for students to gain an understanding of linguistic concepts and analysis through the lens of realistic problems in feasible ways. Case studies tend to be used in legal, business, and health education contexts, but less in the teaching and learning of linguistics. The approach introduced also has potential to encourage students across training backgrounds to continue on to computational language analysis coursework.
Anthology ID:
D17-2003
Volume:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
13–18
Language:
URL:
https://www.aclweb.org/anthology/D17-2003
DOI:
10.18653/v1/D17-2003
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/D17-2003.pdf