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CMU CS 11-731, Fall 2019

Machine Translation and
Sequence-to-sequence Models

Semi-supervised and Unsupervised Methods (10/10/2019)

Content:

  • Semi-supervised Learning for MT
  • Unsupervised Learning for MT

The reading materials will include the following two papers:

Slides:

  • Slides: Semi/Unsupervised Learning Slides

Reading for Quiz:

  • Semi-supervised Learning for Neural Machine Translation
  • Unsupervised Neural Machine Translation using Monolingual Corpora Only

Other References:

  • Incorporating Monolingual Data in Training Encoders/Decoders
    • https://arxiv.org/abs/1503.03535
    • http://www.aclweb.org/anthology/P16-1009
    • https://papers.nips.cc/paper/6469-dual-learning-for-machine-translation.pdf
    • https://www.aclweb.org/anthology/D17-1039
  • Pre-trained Word Embeddings in MT
    • http://www.aclweb.org/anthology/W17-5708
    • http://www.aclweb.org/anthology/N18-2084
  • Bilingual Lexicon Induction
    • https://arxiv.org/abs/1706.04902
    • http://www.aclweb.org/anthology/P08-1088
    • http://www.aclweb.org/anthology/E14-1049
    • http://www.aclweb.org/anthology/W15-1521
    • http://aclweb.org/anthology/D17-1207
    • https://arxiv.org/pdf/1710.04087.pdf
    • https://arxiv.org/pdf/1805.03620.pdf
    • https://arxiv.org/pdf/1809.02306.pdf
  • Unsupervised Translation
    • http://www.anthology.aclweb.org/P/P11/P11-1002.pdf
    • https://arxiv.org/abs/1710.11041
    • https://arxiv.org/abs/1711.00043
    • https://arxiv.org/abs/1804.07755
    • https://arxiv.org/abs/1808.04189

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