- [2014 SSST] On the properties of neural machine Translation Encoder-Decoder Approaches, [paper].
- [2015 ICLR] Neural Machine Translation by Jointly Learning to Align and Translate, [paper], sources: [lisa-groundhog/GroundHog], [tensorflow/nmt].
- [2015 EMNLP] Effective Approaches to Attention-based Neural Machine Translation, [paper], [HarvardNLP homepage], sources: [dillonalaird/Attention], [tensorflow/nmt].
- [2016 ACL] Neural Machine Translation of Rare Words with Subword Units, [paper], [bibtex], [software], sources: [rsennrich/subword-nmt], [soaxelbrooke/python-bpe].
- [2017 ACL] A Convolutional Encoder Model for Neural Machine Translation, [paper], sources: [facebookresearch/fairseq].
- [2017 NIPS] Attention is All You Need, [paper], [Chinses blog], sources: [Kyubyong/transformer], [jadore801120/attention-is-all-you-need-pytorch], [DongjunLee/transformer-tensorflow].
- [2017 EMNLP] Neural Machine Translation with Word Predictions, [paper].
- [2017 EMNLP] Massive Exploration of Neural Machine Translation Architectures, [paper], [homepage], sources: [google/seq2seq].
- [2017 EMNLP] Efficient Attention using a Fixed-Size Memory Representation, [paper].
- [2018 AMTA] Context Models for OOV Word Translation in Low-Resource Language, [paper].
- [2018 NAACL] Self-Attention with Relative Position Representations, [paper].
- [2018 COLING] Double Path Networks for Sequence to Sequence Learning, [paper].