The Influence of Spelling Errors on Content Scoring Performance

Spelling errors occur frequently in educational settings, but their influence on automatic scoring is largely unknown. We therefore investigate the influence of spelling errors on content scoring performance using the example of the ASAP corpus. We conduct an annotation study on the nature of spelling errors in the ASAP dataset and utilize these finding in machine learning experiments that measure the influence of spelling errors on automatic content scoring. Our main finding is that scoring methods using both token and character n-gram features are robust against spelling errors up to the error frequency in ASAP.

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Conference:
NLPTEA 2017, 4thWorkshop on Natural Language Processing Techniques for Educational Applications, December 1, 2017 Taipei, Taiwan
Date Issued:
2017
URN:
urn:nbn:de:hbz:464-20211029-140846-6
DOI:
10.17185/duepublico/72267
Language:
English
Type of Resource:
Text
Collection:
E-Publications
Subject categories of the Deutsche Nationalbibliografie:
004 Data processing Computer sciences
URL:
https://aclanthology.org/W17-5908
Hosting institution:
Faculty of Engineering, Computer Science and Applied Cognitive Science, Computer Science, Language Technology Lab
accrual policy:
Horbach, A., Ding, Y., Zesch, T. (2017) The Influence of Spelling Errors on Content Scoring Performance. In: Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications, pp. 45–53. Asian Federation of Natural Language Processing. https://aclanthology.org/W17-5908

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