Level-Up: Learning to Improve Proficiency Level of Essays

Wen-Bin Han, Jhih-Jie Chen, Chingyu Yang, Jason Chang


Abstract
We introduce a method for generating suggestions on a given sentence for improving the proficiency level. In our approach, the sentence is transformed into a sequence of grammatical elements aimed at providing suggestions of more advanced grammar elements based on originals. The method involves parsing the sentence, identifying grammatical elements, and ranking related elements to recommend a higher level of grammatical element. We present a prototype tutoring system, Level-Up, that applies the method to English learners’ essays in order to assist them in writing and reading. Evaluation on a set of essays shows that our method does assist user in writing.
Anthology ID:
P19-3033
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2019
Address:
Florence, Italy
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
207–212
Language:
URL:
https://www.aclweb.org/anthology/P19-3033
DOI:
10.18653/v1/P19-3033
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PDF:
http://aclanthology.lst.uni-saarland.de/P19-3033.pdf