Update README (facebookresearch#1051)

Summary: Pull Request resolved: fairinternal/fairseq-py#1051

Differential Revision: D20119560

Pulled By: myleott

fbshipit-source-id: caf089341931990777393b916c846a332b76e9dc

README.md

@@ -16,6 +16,8 @@ modeling and other text generation tasks.
 
 ### What's New:
 
+- February 2020: [Added tutorial for back-translation](https://github.com/pytorch/fairseq/tree/master/examples/backtranslation#training-your-own-model-wmt18-english-german)
+- December 2019: [fairseq 0.9.0 released](https://github.com/pytorch/fairseq/releases/tag/v0.9.0)
 - November 2019: [VizSeq released (a visual analysis toolkit for evaluating fairseq models)](https://facebookresearch.github.io/vizseq/docs/getting_started/fairseq_example)
 - November 2019: [CamemBERT model and code released](examples/camembert/README.md)
 - November 2019: [BART model and code released](examples/bart/README.md)

examples/roberta/README.md

@@ -8,7 +8,7 @@ RoBERTa iterates on BERT's pretraining procedure, including training the model l
 
 ### What's New:
 
-- January 2020: Italian model (UmBERTo) is available from [Musixmatch Research](https://github.com/musixmatchresearch): [UmBERTo](https://github.com/musixmatchresearch/umberto).
+- January 2020: Italian model (UmBERTo) is available from Musixmatch Research: [UmBERTo](https://github.com/musixmatchresearch/umberto).
 - November 2019: French model (CamemBERT) is available: [CamemBERT](https://github.com/pytorch/fairseq/tree/master/examples/camembert).
 - November 2019: Multilingual encoder (XLM-RoBERTa) is available: [XLM-R](https://github.com/pytorch/fairseq/tree/master/examples/xlmr).
 - September 2019: TensorFlow and TPU support via the [transformers library](https://github.com/huggingface/transformers).