- 1
-
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio.
Neural machine translation by jointly learning to align and
translate.
In Proceedings of International Conference on Learning
Representations, 2015.
- 2
-
Maja Popovic and Hermann Ney.
Statistical machine translation with a small amount of bilingual
training data.
5th LREC SALTMIL Workshop on Minority Languages, pp. 25-29,
2006.
- 3
-
ラ≦, 筝篁筝, 緇割篋, 亥罔.
ヨ援輝荐膺肢┳絲乗┳ャ潟若鴻号.
荐茯絖篌膃19綛贋≦ぇ篌, pp. 556-559, 2013.
- 4
-
羆羞球.
絲乗┳遵冴絲乗┳ャ腟沿膺肢┳.
2015綛翫墾篆紕茫, 2015.
- 5
-
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau,
Fethi Bougares, Holger Schwenk, and Yoshua Bengio.
Learning phrase representations using rnn encoder-decoder for
statistical machine translation.
In Proceedings of Conference on Empirical Methods in Natural
Language Processing, 2014.
- 6
-
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le.
Sequence to sequence learning with neural networks.
In Advances in Neural Information Processing Systems, 2014.
- 7
-
Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, and Philip L. H. Yu.
Neural machine translation with external phrase memory.
Computing Research Repository, 2016.
- 8
-
Chong Wang, Yining Wang, Po-Sen Huang, Abdel rahman Mohamed, Dengyong Zhou, and
Li Deng.
Sequence modeling via segmentations.
ArXiv, 2017.
- 9
-
Po-Sen Huang, Chong Wang, Dengyong Zhou, and Li Deng.
Neural phrase-based machine translation.
Computing Research Repository, 2017.
- 10
-
Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan
Mao, Kan Qiao, and Dengyong Zhou.
Neural phrase-to-phrase machine translation.
Computing Research Repository, 2018.
- 11
-
Philipp Koehn, Marcello Federico, Brooke Cowan, Richard Zens, Chris Dyer,
Richard Zens, Chris Dyer, Ond44#44ej Bojar, Alexandra Constantin, and
Evan Herbst.
Moses: Open source toolkit for statistical machine translation.
Proceedings of the ACL 2007 Demo and Poster Sessions, pp.
177-180, 2007.
- 12
-
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones,
Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin.
Attention is all you need.
Computing Research Repository, 2017.
- 13
-
Phi Xuan Nguyen and Shafiq R. Joty.
Phrase-based attentions.
Computing Research Repository, 2018.
- 14
-
Minh-Thang Luong, Hieu Pham, and Christopher D. Manning.
Effective approaches to attention-based neural machine translation.
In Proceedings of Conference on Empirical Methods in Natural
Language Processing, pp. 1412-1421, 2015.
- 15
-
羆, 翠ゃ, 緇割篋, 筝篁筝.
膩綵≪茵憝茲ヨ掩帥若喝.
荐茯絖篌茫茯, Vol. 11, No. 3, pp. 69-95, 2004.
- 16
-
Franz Josef Och and Hermann Ney.
A systematic comparison of various statistical alignment models.
Computational linguistics, pp. 19-51, 2003.
- 17
-
筝篁筝, ゆ晦.
ユ茯沿絲乗┳絲障篏罔絲.
膃筝潟若号ユ茯絖若激с, pp. 119-130, 2012.
- 18
-
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M. Rush.
Opennmt: Open-source toolkit for neural machine translation, 2017.
- 19
-
薐ャ潟.
http://unicorn.ike.tottori-u.ac.jp/toribank/.
- 20
-
罌ｲ.
帥若潟冴ャ靚沿膺肢┳紊育腆榊膩篏帥ｃ絲乗┳ャ遵.
2015綛翫墾薐ュ紊у罐茫, 2015.
- 21
-
沿.
http://www.alc.co.jp/.
- 22
-
∽旺腑罔, 罌九坂, 絨阪.
荐茯篏糸墾茯蕭糸墾茯吾荐ャ若罘罌亥浸荐潟劫.
荐茯絖篌 膃23綛贋≦ぇ篌, pp. 982-985, 2017.
- 23
-
罍阪, 筝篁筝.
1紊医乗┳帥若潟絲乗┳ャ遵肴炊.
荐茯絖篌膃25綛贋≦ぇ篌, pp. 328-331, 2019.
