Factors Behind the Effectiveness of an Unsupervised Neural Machine Translation System between Korean and Japanese

Factors Behind the Effectiveness of an Unsupervised Neural Machine Translation System between Korean and Japanese

Korean and Japanese have different writing scripts but share the same Subject-Object-Verb (SOV) word order. In this study, we pre-train a language-generation model using a Masked Sequence-to-Sequence pre-training (MASS) method on Korean and Japanese monolingual corpora. When building the pre-trained...

Full description

Bibliographic Details
Main Authors: Yong-Seok Choi, Yo-Han Park, Seung Yun, Sang-Hun Kim, Kong-Joo Lee
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
MASS
pre-trained generation model
unsupervised neural machine translation
language typology
writing script
SOV word order
Online Access:https://www.mdpi.com/2076-3417/11/16/7662

Internet

https://www.mdpi.com/2076-3417/11/16/7662

Similar Items