no code implementations • WS 2019 • Cheoneum Park, Young-Jun Jung, Kihoon Kim, Geonyeong Kim, Jae-Won Jeon, Seongmin Lee, Jun-Seok Kim, Chang-Ki Lee
In this paper, we describe the neural machine translation (NMT) system submitted by the Kangwon National University and HYUNDAI (KNU-HYUNDAI) team to the translation tasks of the 6th workshop on Asian Translation (WAT 2019).
no code implementations • 6 Dec 2018 • Chankyu Choi, Youngmin Yoon, Junsu Lee, Jun-Seok Kim
Because the horizontal and vertical texts exhibit different characteristics, developing an algorithm that can simultaneously recognize both types of text in real environments is necessary.
no code implementations • EMNLP 2017 • Jaesong Lee, Joong-Hwi Shin, Jun-Seok Kim
While neural machine translation (NMT) provides high-quality translation, it is still hard to interpret and analyze its behavior.
no code implementations • COLING 2016 • Hyoung-Gyu Lee, Jun-Seok Kim, Joong-Hwi Shin, Jaesong Lee, Ying-Xiu Quan, Young-Seob Jeong
In this paper, we introduce papago - a translator for mobile device which is equipped with new features that can provide convenience for users.