Understanding Non-Native Writings: Can a Parser Help?

Jirka Hana, Barbora Hladká


Abstract
We present a pilot study on parsing non-native texts written by learners of Czech. We performed experiments that have shown that at least high-level syntactic functions, like subject, predicate, and object, can be assigned based on a parser trained on standard native language.
Anthology ID:
W17-5902
Volume:
Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Editors:
Yuen-Hsien Tseng, Hsin-Hsi Chen, Lung-Hao Lee, Liang-Chih Yu
Venue:
NLP-TEA
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
12–16
Language:
URL:
https://aclanthology.org/W17-5902
DOI:
Bibkey:
Cite (ACL):
Jirka Hana and Barbora Hladká. 2017. Understanding Non-Native Writings: Can a Parser Help?. In Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017), pages 12–16, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
Understanding Non-Native Writings: Can a Parser Help? (Hana & Hladká, NLP-TEA 2017)
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PDF:
https://aclanthology.org/W17-5902.pdf