Result for "Natural Language Processing",167

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

Communication Science Laboratories, has been researching natural-language processing and its application

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

poster_en_21.pdf

our speech processing technologies developed for conversational speech recognition. Specifically, our

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/21/poster_en_21.pdf

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comparison with past examination,” The 26th Annual Meeting of the Association for Natural Language Processing

https://www.rd.ntt/cs/event/openhouse/2020/download/b_12_en.pdf

Tomohiro Nakatani | NTT R&D Website

- Mar. 2010 Associate Editor, IEEE Trans. Audio, Speech, and Language Processing, Visiting Professor Apr

https://www.rd.ntt/e/organization/researcher/superior/s_012.html

NTT Human Informatics Laboratories: Researching and Developing Technologies That Nurture True Humanity | NTT R&D Website

Informatics Laboratories' decades of research in natural language processing. By quickly implementing general

https://www.rd.ntt/e/research/JN202402_24970.html

poster_en.pdf

the research fields of similarity search and natural language processing, but also introduce the

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/12/poster_en.pdf

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labeler’s purpose is to collect writings with speaker information for natural language processing research

https://www.rd.ntt/cs/event/openhouse/2020/download/a_01_en.pdf

Speech Recognition for Computers | NTT Communication Science Laboratories | NTT R&D Website

Processing Research Group Signal Processing Research Group ＞ Speech Recognition for Computers Speech

https://www.rd.ntt/e/cs/team_project/media/signal/research_media05.html

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Utilizing Granularity Levels in Documents,” in Proc. of 25th Annual Meeting of Natural Language Processing

https://www.rd.ntt/cs/event/openhouse/2019/download/10_b_en.pdf

NTT Communication Science Laboratories Open House 2016

the research fields of similarity search and natural language processing, but also introduce the

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/12/index_en.html

NTT Communication Science Laboratories Open House 2013 Finding picture books suitable for a child - Graph-based similar picture book search with weighted child words -

Association for Natural Language Processing (NLP), A6-4, 2013. K. Aoyama, K. Saito, H. Sawada, N. Ueda, “Fast

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media9/index_en.html

poster_en18.pdf

unified statistical model for both acoustic and language representations, and enhanced it by using a multi

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media6/poster_en18.pdf

D01-12-e.pdf

Conventional speech processing methods provide individual predictions of speech information, making it

https://www.rd.ntt/forum/2024/doc/D01-12-e.pdf

NTT Communication Science Laboratories Open House 2020

natural language processing and knowledge processing, and we feel that the knowledge gained in tackling

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

Communication with Desired Voice | NTT R&D Website

recognition and natural-language processing. The auto-regressive model, which is a part of Seq2Seq, VAE, and

https://www.rd.ntt/e/research/JN202009_6715.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

I Want to Learn More about You: Getting Closer to Humans with AI and Brain Science | NTT R&D Website

problems that require integrating both natural language processing and knowledge processing to solve. We

https://www.rd.ntt/e/research/JN202009_6443.html

poster_en.pdf

Language Processing (NLP2015), 2015. (in Japanese) [2] Ryuichiro Higashinaka, Hiroaki Sugiyama, Hideki

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

NTT Communication Science Laboratories Open House 2013 Smarter instant analysis of “Current” with big data - Streaming analysis with distributed online machine learning -

a distributed real-time data analysis framework. With Jubatus, we can analyze and classify natural

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata3/index_en.html

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that can describe various non-speech audio signals in the form of natural language. Most existing audio

https://www.rd.ntt/cs/event/openhouse/2019/download/21_c_en.pdf