Joint source–target encoding with pervasive attention

Author:

Elbayad MahaORCID,Besacier Laurent,Verbeek Jakob

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Reference50 articles.

1. Arivazhagan N, Cherry C, Macherey W, Chiu C-C, Yavuz S, Pang R, Li W, Raffel C (2019) Monotonic infinite lookback attention for simultaneous machine translation. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp 1313–1323, Florence, Italy

2. Ba JL, Kiros JR, Hinton GE (2016) Layer normalization. ArXiv preprint. arXiv:1607.06450

3. Bahar P, Brix C, Ney H (2018) Towards two-dimensional sequence to sequence model in neural machine translation. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp 3009–3015, Brussels, Belgium, Oct.–Nov. 2018

4. Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. In: 3rd International Conference on Learning Representations, ICLR (2015) Conference Track Proceedings. San Diego, CA, USA, p 15

5. Cettolo M, Niehues J, Stüker S, Bentivogli L, Federico M (2014) Report on the 11th IWSLT evaluation campaign, IWSLT 2014. In: Proceedings of the International Workshop on Spoken Language Translation, vol 57, Hanoi, Vietnam. 16pp

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