Art

J-GLOBAL ID：201902214054775062   Reference number：19A0145934

近代文語体と現代口語体の自動翻訳への試み

Author (5)： HAYASHI ERIKA (奈良女大) ,  TAKEMOTO YUKI (奈良女大) ,  ISHIKAWA YU (滋賀大) ,  TAKATA MASAMI (奈良女大) ,  JO KAZUKI (奈良女大)
Material： 情報処理学会研究報告(Web)  (IPSJ Technical Report (Web))
Volume： 2018  Issue： MPS-121  Page： Vol.2018-MPS-121,No.18,1-6 (WEB ONLY)  Publication year： Dec. 10, 2018 
JST Material Number： U0451A  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： spoken language ,  natural language ,  *machine translation ,  *literary ,  neural network(biomodel)
Semi thesaurus term： Long Short Term Memory Neural Network ,  modern Japanese literature ,  modern literature ,  spoken language ,  *automatic translation ,  *Japanese literature ,  written language

JST classification (1)： Natural language processing  (JE06000L)

Reference (22)：

• Sholom M. Weiss et. al. Rule-based Machine Learning Methods for Functional Prediction.Journal of Articial Intelligence Research 3.1995.383-403p.
• P.F.Brown et. al. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics 19(2). 1993. 263-311p.
• Phillip Koehn et. al. Statistical phrase-based translation. NAACL HLT vol.1. 2003.48-54p.
• Bahdanau, D., Cho, K. & Bengio, Y. Neural machine translation by jointly learning to align and translate. International Conference on Learning Representations. http://arxiv.org/abs/1409.0473. 2015.
• I.Sutskever et.al. Sequence to sequence learning with neural networks. Advances in neural information processing systems 27,NIPS.2014.3104-3112p.

Terms in the title (4)： 近代 ,  文語 ,  自動翻訳 ,  試み