Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model

no code implementations • ACL (WAT) 2021 • Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi

We introduce our TMU Japanese-to-English system, which employs a semi-autoregressive model, to tackle the WAT 2021 restricted translation task.

Machine Translation Sentence +2

Comparison of Grammatical Error Correction Using Back-Translation Models

no code implementations • NAACL 2021 • Aomi Koyama, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi

Therefore, GEC studies have developed various methods to generate pseudo data, which comprise pairs of grammatical and artificially produced ungrammatical sentences.

Grammatical Error Correction Translation

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