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

NTT Communication Science Laboratories Open House 2020

Computation 09 Tuning machine translation with small tuning data Domain adaptation with JParaCrawl, a large

https://www.rd.ntt/cs/event/openhouse/2020/exhibition9/index_en.html

Innovative Communication Laboratory | NTT Communication Science Laboratories | NTT R&D Website

, machine translation, machine learning, sensor networks, dialogue interaction, child development, and

https://www.rd.ntt/e/cs/team_project/icl/

NTT Communication Science Laboratories Open House 2016

language lectures by using speech recognition and machine translation technology. The system allows non

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/23/index_en.html

NTT コミュニケーション科学基礎研究所 オープンハウス2011 研究講演 Supporting Communication in Global Networks -Machine Translation and Social Network Mining-

Networks -Machine Translation and Social Network Mining 36分 ムービーの閲覧に必要なWindows Media Player™はこちらから入手可能

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

NTT コミュニケーション科学基礎研究所 オープンハウス2018

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

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

Main Topics | NTT Communication Science Laboratories | NTT R&D Website

Methods Data and Machine Learning Machine Translation Natural Language Processing Algorithms for Discrete

https://www.rd.ntt/e/cs/research_topic/

Natural Language Analyses | NTT Communication Science Laboratories | NTT R&D Website

and to communicate with foreigners in person. This has revived the demand for machine translation

https://www.rd.ntt/e/cs/team_project/icl/lirg/innovative/research_innovative04.html

スライド 1

translate considering context? [1] M. Morishita, J. Suzuki, M. Nagata, “NTT Neural Machine Translation

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/10/poster10.pdf

poster_en_5.pdf

.) Machine Translation Speech Recognition etc. Recurrent Neural Networks (RNNs) 1. Training RNNs 2

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/5/poster_en_5.pdf

スライド 1

is used in a lot of applications, e.g., image recognition, speech recognition, and machine

https://www.rd.ntt/cs/event/openhouse/2019/download/04_a_en.pdf

poster_en.pdf

machine translation systems, we have for the first time achieved a higher score than the average human

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/10/poster_en.pdf

GoiTaikei --- A Japanese Lexicon CD-ROM | NTT Communication Science Laboratories | NTT R&D Website

ALT-J/E Japanese-to-English machine translation system by NTT. In addition, it has a valency

https://www.rd.ntt/e/cs/team_project/icl/lirg/resources/GoiTaikei/

NTT Communication Science Laboratories Open House 2015 Program

children - Better Japanese understanding helps better translation - Pre-ordering machine translation by

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

NTT Communication Science Laboratories Open House 2013 Program

experiences brought by statistical machine translation - Breaking the language barriers of technical

https://www.rd.ntt/cs/event/openhouse/2013/program_en.html

NTT Communication Science Laboratories Open House 2017

speech recognition or machine translation. However, training of RNNs requires trial and error, and

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/5/index_en.html

Linguistic Intelligence Research Group | NTT Communication Science Laboratories | NTT R&D Website

Machine Translation Natural Language Analyses Algorithms for Discrete Structure Educational Support

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

NTT Communication Science Laboratories Open House 2019

Download Contact Home / Program / Exhibition Program Exhibition Program Science of Machine Learning 04

https://www.rd.ntt/cs/event/openhouse/2019/exhibition4/index_en.html

NTT コミュニケーション科学基礎研究所 オープンハウス2013 言語の壁をどう越える？ ～英語・中国語・韓国語から日本語への統計翻訳～

. Nagata, X. Wu, T. Matsuzaki, J. Tsujii, "NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT," in

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

機械翻訳｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

することができます。またNTTはJParaCrwalを研究目的に限定して無償で公開しており、機械翻訳の代表的な国際会議であるWMT(Conference on Machine Translation)の日英・英日ニュース翻訳タス

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

NTT Communication Science Laboratories Open House 2015

events. With our common sense reasoning techniques developed through research on dialogue and machine

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/10/index_en.html

NTT Communication Science Laboratories Open House 2017 Program

neural machine translation by prefix constraints Learning ‘neat’ semantic representations of words Neural

https://www.rd.ntt/cs/event/openhouse/2017/program_en.html

poster_en_13.pdf

language processing (NLP) and understanding (NLU) systems, i.e., machine translation, question answering

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/13/poster_en_13.pdf

Sekitoshi Kanai | NTT Software Innovation Center | NTT R&D Website

technology yet. Let us take an example of machine translation which has made remarkable progress by the deep

https://www.rd.ntt/e/cct/team_researchers/researcher/249.html

日本語風の英語を介した英日・日英統計翻訳

Statistical Machine Translation,” Proc. of MT Summit XIII. pp.316- 323, 2011 須藤克仁 (Katsuhito Sudoh) 協創情報研究部 言語

https://www.rd.ntt/cs/event/openhouse/2012/panel/panel_11.pdf

NTT Communication Science Laboratories Open House 2018 Program

understanding tests for neural machine translation Early vocabulary development in late talkers Collecting and

https://www.rd.ntt/cs/event/openhouse/2018/program_en.html

NTT Communication Science Laboratories Open House 2013 Automatic grammatical analysis of English - Syntactic parsing based on statistical grammar induction -

analyzer to be useful for achieving high-quality machine translation and automatic language correction

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/computing6/index_en.html

NTT Communication Science Laboratories Open House 2017

resource for many natural language processing (NLP) and understanding (NLU) systems, i.e., machine

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/13/index_en.html

NTT コミュニケーション科学基礎研究所 オープンハウス×未来想論 2008 テーマ展示 世界中のメディアで調べる、学ぶ、楽しむ

することで，精度の高い機械翻訳を実現 Online Large-Margin Training for Statistical Machine Translation, Proc. EMNLP-CoNLL, pp

https://www.rd.ntt/cs/event/openhouse/2008/world_media/

poster13.pdf

ことばへ も対象を広げ、言語の壁を越えたコ ミュニケーションを実現します。 須藤 克仁 (Katsuhito Sudoh) 協創情報研究部 言語知能研究グループ Statistical machine

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/poster13.pdf

NTT Communication Science Laboratories Open House 2018

context? Context understanding tests for neural machine translation Early vocabulary development in late

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