paper-with-me

홈 › Papers

The Kyoto University Cross-Lingual Pronoun Translation System

2016-08-01 · WS 2016 8 · Raj Dabre, Yevgeniy Puzikov, Fabien Cromieres, Sadao Kurohashi
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

LemmatizationMachine TranslationTranslationWord Embeddings

Similar Papers 제목 키워드 기반

Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020

2020-12-01 · AACL (WAT) 2020 12 · Zhuoyuan Mao, Yibin Shen, Chenhui Chu, Sadao Kurohashi 외

This paper describes the Japanese-Chinese Neural Machine Translation (NMT) system submitted by the joint team of Kyoto University and East China Normal University (Kyoto-U+ECNU) to WAT 2020 (Nakazawa et al.,2020). We par…

DenoisingMachine TranslationNMTTranslation

The JHU/KyotoU Speech Translation System for IWSLT 2018

2018-10-01 · IWSLT (EMNLP) 2018 10 · Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala 외

This paper describes the Johns Hopkins University (JHU) and Kyoto University submissions to the Speech Translation evaluation campaign at IWSLT2018. Our end-to-end speech translation systems are based on ESPnet and imple…

DecoderTransfer LearningTranslation

Kyoto University Participation to the WMT 2019 News Shared Task

2019-08-01 · WS 2019 8 · Fabien Cromieres, Sadao Kurohashi

We describe here the experiments we did for the the news translation shared task of WMT 2019. We focused on the new German-to-French language direction, and mostly used current standard approaches to develop a Neural Mac…

Machine TranslationTranslation

Kyoto University Participation to WAT 2016

2016-12-01 · WS 2016 12 · Fabien Cromieres, Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi

We describe here our approaches and results on the WAT 2016 shared translation tasks. We tried to use both an example-based machine translation (MT) system and a neural MT system. We report very good translation results,…

Machine TranslationSpelling CorrectionTranslation

Kyoto University MT System Description for IWSLT 2017

2017-12-01 · IWSLT 2017 12 · Raj Dabre, Fabien Cromieres, Sadao Kurohashi

We describe here our Machine Translation (MT) model and the results we obtained for the IWSLT 2017 Multilingual Shared Task. Motivated by Zero Shot NMT [1] we trained a Multilingual Neural Machine Translation by combinin…

Machine TranslationNMTTranslation