Unbabel-comet

1) comet-compare to support multiple system comparisons.
2) Bugfix: Broken link for wmt21-comet-qe-da (78)
3) Bugfix: protobuf dependency (82)
4) New models from Cometinho [EAMT 22 paper](https://aclanthology.org/2022.eamt-1.9/) (eamt22-cometinho-da & eamt22-comet-prune-da)

Breaking Changed
`comet-compare` does not support `-x`and `-y` flags. Now it receives a single flag `-t` with multiple arguments for multiples systems.

Before:

comet-compare -s src.de -x hyp1.en -y hyp2.en -r ref.en


After:


comet-compare -s src.de -t hyp1.en hyp2.en -r ref.en


Contributors
* erip (69, 70)
* SamuelLarkin (74)
* Joao-Maria-Janeiro (75, 77)


**Full Changelog**: https://github.com/Unbabel/COMET/compare/v1.0.1...v1.1.0

1) Updated [documentation](https://unbabel.github.io/COMET/html/index.html)
2) Updated Pytorch Lightning version to avoid security vulnerabilities (Untrusted Data & Code Injection)
3) Inspired by [Amrhein et al, 2022](https://arxiv.org/abs/2202.05148) we added the `comet-mbr` command for fast Minimum Bayes Risk Decoding.
4) New encoder models

What's Changed
* Fix minor typo in exception message by alvations in https://github.com/Unbabel/COMET/pull/57
* Adds --quiet flag by Remorax in https://github.com/Unbabel/COMET/pull/58
* Bug fix of num_workers. by devrimcavusoglu in https://github.com/Unbabel/COMET/pull/63
* fix encoding issues for Windows users by erip in https://github.com/Unbabel/COMET/pull/68

New Contributors
* alvations made their first contribution in https://github.com/Unbabel/COMET/pull/57
* Remorax made their first contribution in https://github.com/Unbabel/COMET/pull/58
* devrimcavusoglu made their first contribution in https://github.com/Unbabel/COMET/pull/63
* erip made their first contribution in https://github.com/Unbabel/COMET/pull/68

**Full Changelog**: https://github.com/Unbabel/COMET/compare/v1.0.1...v1.1.0

Scipy missing from dependencies list.

What's new?

1) comet-compare command for statistical comparison between two models
2) comet-score with multiple hypothesis/systems
3) Embeddings caching for faster inference (thanks to jsouza).
4) Length Batching for faster inference (thanks to CoderPat)
5) Integration with SacreBLEU for dataset downloading (thanks to mjpost)
6) Monte-carlo Dropout for uncertainty estimation (thanks to glushkovato and chryssa-zrv)
7) Some code refactoring

Hopefully, this version is also easier to install than the previous one that relied on fairseq.

- We now use Poetry to solve dependency issues.
- Removed LASER encoder and FastBPE dependencies (Windows users can now run COMET)
- Removed references requirements for QE models