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Large-scale Expected BLEU Training of Phrase-based Reordering Models.

, , and . EMNLP, page 1250-1260. ACL, (2014)

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Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language, , , and . https://ai.facebook.com/blog/ai-self-supervised-learning-data2vec/, (2022)cite arxiv:2212.07525.Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks., , and . HLT-NAACL, page 210-220. The Association for Computational Linguistics, (2016)Neural Network-based Word Alignment through Score Aggregation., , and . WMT, page 66-73. The Association for Computer Linguistics, (2016)Cloze-driven Pretraining of Self-attention Networks., , , , and . EMNLP/IJCNLP (1), page 5359-5368. Association for Computational Linguistics, (2019)Simple and Effective Noisy Channel Modeling for Neural Machine Translation., , and . EMNLP/IJCNLP (1), page 5695-5700. Association for Computational Linguistics, (2019)wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations., , , and . NeurIPS, (2020)DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning., , , , and . NeurIPS, (2023)On-demand compute reduction with stochastic wav2vec 2.0., , , and . INTERSPEECH, page 3048-3052. ISCA, (2022)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training., , , , , , , , , and 1 other author(s). Interspeech, page 721-725. ISCA, (2021)A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing., and . ACL, page 470-480. The Association for Computer Linguistics, (2011)