Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language

no code implementations • LREC 2020 • Aomi Koyama, Tomoshige Kiyuna, Kenji Kobayashi, Mio Arai, Mamoru Komachi

As our corpus has less noise and its annotation scheme reflects the characteristics of the dataset, it is ideal as an evaluation corpus for correcting grammatical errors in sentences written by JSL learners.

Grammatical Error Correction Machine Translation +2

Automated Essay Scoring System for Nonnative Japanese Learners

no code implementations • LREC 2020 • Reo Hirao, Mio Arai, Hiroki Shimanaka, Satoru Katsumata, Mamoru Komachi

In this study, we created an automated essay scoring (AES) system for nonnative Japanese learners using an essay dataset with annotations for a holistic score and multiple trait scores, including content, organization, and language scores.

Automated Essay Scoring

Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language

no code implementations • WS 2019 • Mio Arai, Masahiro Kaneko, Mamoru Komachi

Existing example retrieval systems do not include grammatically incorrect examples or present only a few examples, if any.

Grammatical Error Detection Retrieval +1

Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language

no code implementations • ACL 2019 • Mio Arai, Tomonori Kodaira, Mamoru Komachi

This study develops an incorrect example retrieval system, called Sakura, using a large-scale Lang-8 dataset for Japanese language learners.

Retrieval