Data Troubles in Sentence Level Confidence Estimation for Machine Translation

no code implementations • 26 Oct 2020 • Ciprian Chelba, Junpei Zhou, Yuezhang, Li, Hideto Kazawa, Jeff Klingner, Mengmeng Niu

For an English-Spanish translation model operating at $SACC = 0. 89$ according to a non-expert annotator pool we can derive a confidence estimate that labels 0. 5-0. 6 of the $good$ translations in an "in-domain" test set with 0. 95 Precision.

Machine Translation Sentence +1

Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation

no code implementations • 12 Sep 2018 • Akiko Eriguchi, Melvin Johnson, Orhan Firat, Hideto Kazawa, Wolfgang Macherey

However, little attention has been paid to leveraging representations learned by a multilingual NMT system to enable zero-shot multilinguality in other NLP tasks.

Classification Cross-Lingual Transfer +6

An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation

no code implementations • PACLIC 2017 • Raj Dabre, Tetsuji Nakagawa, Hideto Kazawa

Machine Translation Transfer Learning +1

Overview of the 4th Workshop on Asian Translation

no code implementations • WS 2017 • Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, Hideya Mino, Isao Goto, Hideto Kazawa, Yusuke Oda, Graham Neubig, Sadao Kurohashi

For the WAT2017, 12 institutions participated in the shared tasks.

Machine Translation Translation

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

28 code implementations • 26 Sep 2016 • Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean

To improve parallelism and therefore decrease training time, our attention mechanism connects the bottom layer of the decoder to the top layer of the encoder.

Machine Translation NMT +2

A joint inference of deep case analysis and zero subject generation for Japanese-to-English statistical machine translation

no code implementations • ACL 2014 • Taku Kudo, Hiroshi Ichikawa, Hideto Kazawa

Machine Translation Translation