 Documentation For more details follow the documentation.  1. **[Installation](https://tharindudr.github.io/TransQuest/install/)** - Install TransQuest locally using pip.  2. **Architectures** - Checkout the architectures implemented in TransQuest     1. [Sentence-level Architectures](https://tharindudr.github.io/TransQuest/architectures/sentence_level_architectures/) - We have released two architectures; MonoTransQuest and SiameseTransQuest to perform sentence level quality estimation.     2. [Word-level Architecture](https://tharindudr.github.io/TransQuest/architectures/word_level_architecture/) - We have released MicroTransQuest to perform word level quality estimation.  3. **Examples** - We have provided several examples on how to use TransQuest in recent WMT quality estimation shared tasks.     1. [Sentence-level Examples](https://tharindudr.github.io/TransQuest/examples/sentence_level_examples/)     2. [Word-level Examples](https://tharindudr.github.io/TransQuest/examples/word_level_examples/) 4. **Pre-trained Models** - We have provided pretrained quality estimation models for fifteen language pairs covering both sentence-level and word-level     1. [Sentence-level Models](https://tharindudr.github.io/TransQuest/models/sentence_level_pretrained/)     2. [Word-level Models](https://tharindudr.github.io/TransQuest/models/word_level_pretrained/) 5. **[Contact](https://tharindudr.github.io/TransQuest/contact/)** - Contact us for any issues with TransQuest   