Paper Info
Title
Controlling Grammatical Error Correction Using Word Edit Rate
Abstract
When professional English teachers correct grammatically erroneous sentences written by English learners, they use various methods. The correction method depends on how much corrections a learner requires. In this paper, we propose a method for neural grammar error correction (GEC) that can control the degree of correction. We show that it is possible to actually control the degree of GEC by using new training data annotated with word edit rate. Thereby, diverse corrected sentences is obtained from a single erroneous sentence. Moreover, compared to a GEC model that does not use information on the degree of correction, the proposed method improves correction accuracy.
Year
DOI
Venue
2019
10.18653/v1/p19-2020
57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019:): STUDENT RESEARCH WORKSHOP
DocType
Volume
Citations 
Conference
P19-2
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Kengo Hotate101.35
Masahiro Kaneko227.85
Satoru Katsumata303.38
Mamoru Komachi424144.56