facebookresearch / Mask-PredictLinks
A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.
☆245Updated 4 years ago
Alternatives and similar repositories for Mask-Predict
Users that are interested in Mask-Predict are comparing it to the libraries listed below
Sorting:
- Tracking the progress in non-autoregressive generation (translation, transcription, etc.)☆304Updated 2 years ago
- Zero -- A neural machine translation system☆153Updated 2 years ago
- Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020☆163Updated 3 years ago
- Some good(maybe) papers about NMT (Neural Machine Translation).☆85Updated 5 years ago
- ☆113Updated 4 years ago
- This project attempts to maintain the SOTA performance in machine translation☆108Updated 5 years ago
- Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"☆137Updated 2 years ago
- Neural Text Generation with Unlikelihood Training☆310Updated 4 years ago
- ☆180Updated 3 years ago
- Generative Flow based Sequence-to-Sequence Toolkit written in Python.☆246Updated 5 years ago
- Code for ACL2020 "Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation"☆39Updated 5 years ago
- This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 …☆98Updated 5 years ago
- Code for NeurIPS2020 "Incorporating BERT into Parallel Sequence Decoding with Adapters"☆32Updated 3 years ago
- Implementation of Dual Learning NMT on PyTorch☆163Updated 7 years ago
- DisCo Transformer for Non-autoregressive MT☆77Updated 3 years ago
- Implementation of the paper Tree Transformer☆214Updated 5 years ago
- PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"☆271Updated 3 years ago
- LaNMT: Latent-variable Non-autoregressive Neural Machine Translation with Deterministic Inference☆79Updated 4 years ago
- Data and code used in our NAACL'19 paper "Selective Attention for Context-aware Neural Machine Translation"☆30Updated 5 years ago
- Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation☆44Updated last year
- Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)☆126Updated 6 years ago
- Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.☆118Updated 5 years ago
- NAACL 2021 - Progressive Generation of Long Text☆82Updated 5 years ago
- Optimus: the first large-scale pre-trained VAE language model☆392Updated 2 years ago
- Python code for training models in the ACL paper, "Beyond BLEU:Training Neural Machine Translation with Semantic Similarity".☆52Updated 5 years ago
- ☆119Updated 6 years ago
- The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach …☆63Updated 5 years ago
- Code for the paper "Balancing Training for Multilingual Neural Machine Translation, ACL 2020"☆23Updated 4 years ago
- Soft Contextual Data Augmentation☆39Updated last year
- ☆362Updated 3 years ago