Art

J-GLOBAL ID：202002211767079671   Reference number：20A2241042

Simplification of RNN and Its Performance Evaluation in Machine Translation

機械翻訳におけるRNNの簡略化とその性能評価

Author (4)： FUJITA Tomohiro (Kobe Univ., Hyogo, JPN) ,  LUO Zhiwei (Kobe Univ., Hyogo, JPN) ,  QUAN Changqin (Kobe Univ., Hyogo, JPN) ,  MORI Kohei (Kobe Univ., Hyogo, JPN)
Material： システム制御情報学会論文誌  (Transactions of the Institute of Systems, Control and Information Engineers)
Volume： 33  Issue： 10  Page： 267-274  Publication year： Oct. 2020 
JST Material Number： L0070A  ISSN： 1342-5668  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *machine translation ,  neural network(biomodel) ,  *simplification ,  improvement ,  performance evaluation ,  *speedup ,  parameter ,  research ,  set ,  multistory structure ,  evaluation
Semi thesaurus term： Long short term memory ,  Dataset ,  *simplification ,  performance improvement ,  multilayer structure ,  comparative study ,  Effectiveness assessment

JST classification (2)： Natural language processing  (JE06000L) ,  Information services  (AC08000K)

Reference (17)：

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• [2] F. J. Pineda: Generalization of back-propagation to recurrent neural networks; Physical Review Letters, Vol. 59, pp. 2229-2232 (1987)
• [3] S. Hochreiter and J. Schmidhuber: Long short-term memory; Neural Computation, Vol. 9, No. 8, pp. 1735-1780 (1997)
• [4] F. A. Gers, J. Schmidhuber and F. Cumminsm: Learning to forget; Continual prediction with LSTM;Neural Computation, Vol. 12, No. 10, pp. 2451-2471 (2000)
• [5] K. Cho, B. V. Merrienboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk and Y. Bengio: Learning phrase representations using rnn encoder-decoder for statistical machine translation; Conference on Empirical Methods in Natural Language Processing, pp. 1724-1734 (2014)

Terms in the title (4)： 機械翻訳 ,  RNN ,  簡略化 ,  性能評価