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  1. Python source code for EMNLP 2020 paper "Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT".

    Python 25 2

  2. PyTorch source code of NAACL 2021 paper "Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation".

    Python 6

  3. siatl Public

    PyTorch source code of NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models"

    Python 85 12

  4. Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

    Python 18 9

  5. Unsupervised MT systems of LMU Munich submitted to WMT 2020 Unsupervised Machine Translation Shared Task.

    Python 4

  6. Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".

    Python 8 2

138 contributions in the last year

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Contribution activity

January 2022

2 contributions in private repositories Jan 15

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