The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Tree-to-Sequence Attentional Neural Machine Translation
Open accessAbstract
Most of the existing Neural Machine Translation (NMT) models focus on the conversion of sequential data and do not directly use syntactic information.We propose a novel end-to-end syntactic NMT model, extending a sequenceto-sequence model with the source-side phrase structure.Our model has an attention mechanism that enables the decoder to generate a translated word while softly aligning it with phrases as well as words of the source sentence.Experimental results on the WAT'15 Englishto-Japanese dataset demonstrate that our proposed model considerably outperforms sequence-to-sequence attentional NMT models and compares favorably with the state-of-the-art tree-to-string SMT system.
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Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
BLEU: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073135 · Cited by 21,344
Effective Approaches to Attention-based Neural Machine Translation
Luong, T., Pham, H., & Manning, C. D. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d15-1166 · Cited by 8,382
Cited by
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Hashimoto, K., xiong, C., Tsuruoka, Y., & Socher, R. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1206 · Cited by 535
Self-citationGraph-to-Sequence Learning using Gated Graph Neural Networks
Beck, D., Haffari, G., & Cohn, T. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1026 · Cited by 380
Tree-to-tree neural networks for program translation
Chen, X., Liu, C., & Song, D. (2018) · arXiv · doi:10.48550/arxiv.1802.03691 · Cited by 157
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Bastings, J., Titov, I., Aziz, W., Marcheggiani, D., & Simaan, K. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1209 · Cited by 97
Metadata
- Authors
- Eriguchi, A., Hashimoto, K., & Tsuruoka, Y.
- Venue
- Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2016
- Pages
- 823-833
- OpenAlex
- W2963661253
- Cited by
- 265
- References
- 4
- FWCI
- 23.42
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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