Title
Sakura: Large-Scale Incorrect Example Retrieval System For Learners Of Japanese As A Second Language
Abstract
This study develops an incorrect example retrieval system, called Sakura, that uses a large-scale Lang-8 dataset for Japanese language learners. Existing example retrieval systems either exclude grammatically incorrect examples or present only a few examples. If a retrieval system has a wide coverage of incorrect examples along with their correct counterparts, learners can revise their composition themselves. Considering the usability of retrieving incorrect examples, our proposed system uses a large-scale corpus to expand the coverage of incorrect examples and present correct as well as incorrect expressions. Intrinsic and extrinsic evaluations indicate that our system is more useful than existing systems.
Year
DOI
Venue
2019
10.18653/v1/p19-3001
ACL (3)
DocType
Volume
Citations 
Conference
P19-3
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Mio Arai100.68
Tomonori Kodaira200.34
Mamoru Komachi324144.56