Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Nakaiwa, Hiromi"'
Autor:
MATSUBARA, Shigeki, NAKAIWA, Hiromi, KOMAIMIZU, Takahiro, SUZUKI, Yu, IDE, Ichiro, NISHIMURA, Norihiro, HAYAMIZU, Satoru, TAKEDA, Kazuya
Publikováno v:
電子情報通信学会技術研究報告 : 教育工学（ET）. 122(431):117-127
データサイエンス人材育成を大学連携で推進するための共通ガイドラインの作成とその実践について述べる。このガイドラインは、実データを用いてグループワークで課題を解決する実
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::bac1f21a0683678d4bc37f80bb5f5014
https://nagoya.repo.nii.ac.jp/records/2005072
https://nagoya.repo.nii.ac.jp/records/2005072
Publikováno v:
Proceedings of MT Summit III, 1991, 101-106.
Recently, several types of Japanese-to-English machine translation systems have been developed, but all of them require an initial process of rewriting the original text into easily translatable Japanese. Therefore these systems are unsuitable for tr
Externí odkaz:
http://arxiv.org/abs/cmp-lg/9510008
Autor:
Nakaiwa, Hiromi
Publikováno v:
Machine Translation, 1999 Jan 01. 14(3/4), 247-279.
Externí odkaz:
https://www.jstor.org/stable/40006924
Autor:
Akiba, Yasuhiro, Imamura, Kenji, Sumita, Eiichiro, Nakaiwa, Hiromi, Yamamoto, Seiichi, Okuno, Hiroshi G.
Publikováno v:
人工知能学会論文誌(Transactions of the Japanese Society for Artificial Intelligence). 20(3):139-148
This paper addresses the challenging problem of automating the human's intelligent ability to evaluate output from machine translation (MT) systems, which are subsystems of Speech-to-Speech MT (SSMT) systems. Conventional automatic MT evaluation meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::3c86c59508cc1571f98637ffc05a63d4
http://hdl.handle.net/2433/187395
http://hdl.handle.net/2433/187395
This paper proposes an annotating scheme that encodes honorifics (respectful words). Honorifics are used extensively in Japanese, reflecting the social relationship (e.g. social ranks and age) of the referents. This referential information is vital f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______603::0fed3aaf72f2a3d81a627b73d8486c6e
http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23666
http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23666
We propose a method to alleviate the problem of referential granularity for Japanese zero pronoun resolution. We use dictionary definition sentences to extract ‘representative’ arguments of predicative definition words; e.g. ‘arrest’ is likel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1392::7023ebc9d94dba50b85f87da8a2db032
https://hdl.handle.net/10356/79571
https://hdl.handle.net/10356/79571
Publikováno v:
International Journal on Artificial Intelligence Tools. Dec2001, Vol. 10 Issue 4, p675. 16p.
Autor:
Nakamura, Satoshi, Markov, Konstantin, Nakaiwa, Hiromi, Kikui, Genichiro, Kawai, Hisashi, Jitsuhiro, Takatoshi, Jin-Song Zhang, Yamamoto, Hirofumi, Sumita, Eiichiro, Yamamoto, Seiichi
Publikováno v:
IEEE Transactions on Audio, Speech & Language Processing; Mar2006, Vol. 14 Issue 2, p365-376, 14p, 6 Diagrams, 12 Charts
Autor:
Akiba, Yasuhiro, Imamura, Kenji, Sumita, Eiichiro, Nakaiwa, Hiromi, Yamamoto, Seiichi, Okuno, Hiroshi G.
Publikováno v:
IEEE Transactions on Audio, Speech & Language Processing; Mar2006, Vol. 14 Issue 2, p393-402, 10p, 1 Diagram, 6 Charts, 1 Graph
Akademický článek
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