Adaptation of Machine Translation Models with Back-Translated Data Using Transductive Data Selection Methods

Author:

Poncelas AlbertoORCID,Wenniger Gideon Maillette de BuyORCID,Way AndyORCID

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Poncelas, A., de Buy Wenniger, G.M., Way, A.: Feature decay algorithms for neural machine translation. In: Proceedings of the 21st Annual Conference of the European Association for Machine Translation, pp. 239–248. Alacant, Spain (2018)

2. Silva, C.C., Liu, C.H., Poncelas, A., Way, A.: Extracting in-domain training corpora for neural machine translation using data selection methods. In: Proceedings of the Third Conference on Machine Translation: Research Papers, pp. 224–231, Brussels, Belgium (2018)

3. Luong, M.T., Manning, C.D.: Stanford neural machine translation systems for spoken language domains. In: Proceedings of the International Workshop on Spoken Language Translation, pp. 76–79. Da Nang, Vietnam (2015)

4. Freitag, M., Al-Onaizan, Y.: Fast domain adaptation for neural machine translation. arXiv preprint arXiv:1612.06897 (2016)

5. van der Wees, M., Bisazza, A., Monz, C.: Dynamic data selection for neural machine translation. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 1400–1410. Copenhagen, Denmark (2017)

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