Result for "Machine Translation",127

Toward a More Accurate and Easy-to-use System for Rapidly Evolving Machine Translation | NTT R&D Website

Toward a More Accurate and Easy-to-use System for Rapidly Evolving Machine Translation | NTT R&D

https://www.rd.ntt/e/research/JN202402_24997.html

Machine Translation | NTT Communication Science Laboratories | NTT R&D Website

Machine Translation | NTT Communication Science Laboratories | NTT R&D Website NTT R&D Website NTT

https://www.rd.ntt/e/cs/team_project/icl/lirg/innovative/research_innovative03.html

Neural Machine Translation Technology | NTT R&D Website

Neural Machine Translation Technology | NTT R&D Website NTT R&D Website Research&Activity Neural

https://www.rd.ntt/e/research/CS0039.html

poster_en_12.pdf

machine translation is attracting attention because it can generate very fluent translation compared with

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/12/poster_en_12.pdf

スライド 1

. Morishita, J. Suzuki, M. Nagata, “NTT Neural Machine Translation Systems at WAT 2017,” in Proc. The 4th

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/10/poster_en_10.pdf

poster_en.pdf

(at)lab.ntt.co.jp 12 ～Pre-ordering machine translation by deep syntactic analysis～ [1] T. Tanaka and M

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/12/poster_en.pdf

NTT Communication Science Laboratories Open House 2013 How can we overcome language barriers? - Statistical machine translation from foreign languages to Japanese -

? - Statistical machine translation from foreign languages to Japanese - 日本語 English Home Greeting Program

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/index_en.html

poster_en.pdf

-ordering for Japanese-to-English statistical machine translation,” in Proc. IJCNLP, pp. 1062-1066, 2013 [3

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/12/poster_en.pdf

poster_en13.pdf

translation is a promising machine translation technology that can learn “how to translate” automatically from

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/poster_en13.pdf

NTT Communication Science Laboratories Open House 2013

Friday, June 7 13:00-13:40 Innovative user experiences brought by statistical machine translation

https://www.rd.ntt/cs/event/openhouse/2013/talk/research3/index_en.html

NTT Communication Science Laboratories Open House 2017

Language Exhibition Program 12 How to get your favorite translation Controlling neural machine translation

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/12/index_en.html

Being Different Is a Compliment. Practice Talking Logically about Future Plans｜NTT R&D Website

, the target of my research changed from statistical machine translation based on translating words and

https://www.rd.ntt/e/research/JN202104_12388.html

NTT Communication Science Laboratories Open House 2015

Japanese understanding helps better translation - Pre-ordering machine translation by deep syntactic

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/12/index_en.html

NTT Communication Science Laboratories Open House 2014 Reordering Japanese for better translation - Translation using Japanese predicate argument structure -

differences between Japanese and other languages cause serious translation errors by machine translation. We

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/12/index_en.html

NTT Communication Science Laboratories Open House 2016

machine translation - Abstract Word order differences between Japanese and other languages cause serious

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/13/index_en.html

NTT Communication Science Laboratories Open House 2018

neural machine translation Abstract This project researches methods for evaluating a machine translation

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/10/index_en.html

Masaaki Nagata | NTT R&D Website

▶ To the interview Neural machine translation based on context and situation We aim to develop a

https://www.rd.ntt/e/organization/researcher/superior/s_011.html

poster_en.pdf

-native Speakers～ [1] N. Yamashita, T. Ishida, “Effects of machine translation on collaborative work,” in

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/23/poster_en.pdf

スライド 1

スライド 1 Abstract References Contact オープンハウス 2020 09 Tuning machine translation with small tuning

https://www.rd.ntt/cs/event/openhouse/2020/download/b_09_en.pdf

Language Technologies in a Multilingual World

Networks Kevin Duh Supporting Communications in Global Networks Machine Translation 6000 Number of

https://www.rd.ntt/cs/event/openhouse/2011/talk/research1/openhouse-kevinalbert.pdf