mlsanityData to 7 Oct 2026

Learning to Parse and Translate Improves Neural Machine Translation

arXiv 1702.03525 ↗First posted 12 Feb 2017cs.CLcited by 16

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Abstract (arXiv)

There has been relatively little attention to incorporating linguistic prior to neural machine translation. Much of the previous work was further constrained to considering linguistic prior on the source side. In this paper, we propose a hybrid model, called NMT+RNNG, that learns to parse and translate by combining the recurrent neural network grammar into the attention-based neural machine translation. Our approach encourages the neural machine translation model to incorporate linguistic prior during training, and lets it translate on its own afterward. Extensive experiments with four language pairs show the effectiveness of the proposed NMT+RNNG.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Feb 2017.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 1; 2024: 2; 2025: 0; 2026: 1.

16 papers.

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  1. 2021Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Modelscited by 41
  2. 2022Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scalecited by 40
  3. 2021Improving Multilingual Translation by Representation and Gradient Regularizationcited by 31
  4. 2021Sequence-to-Sequence Learning with Latent Neural Grammarscited by 30
  5. 2021Effective Batching for Recurrent Neural Network Grammarscited by 12
  6. 2023Explicit Syntactic Guidance for Neural Text Generationcited by 8
  7. 2021Rule Augmented Unsupervised Constituency Parsingcited by 4
  8. 2022Does Entity Abstraction Help Generative Transformers Reason?cited by 3
  9. 2022Dense but Efficient VideoQA for Intricate Compositional Reasoningcited by 2
  10. 2024Context-Aware Machine Translation with Source Coreference Explanationcited by 2
  11. 2021Enhancing the Transformer Decoder with Transition-based Syntaxcited by 1
  12. 2021CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Taskcited by 1
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  1. 2021Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Networkcited by 1
  2. 2022Visualizing the Relationship Between Encoded Linguistic Information and Task Performancecited by 1
  3. 2024The ART of Composition: Attention-Regularized Training for Compositional Visual Groundingcited by 0
  4. 2026Top-down string-to-dependency Neural Machine Translationcited by 0