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authorTharinduDR <rhtdranasinghe@gmail.com>2021-11-11 21:27:57 +0300
committerTharinduDR <rhtdranasinghe@gmail.com>2021-11-11 21:27:57 +0300
commitfd9714050ea73201119f1c70b060b3faee86c133 (patch)
tree100e2a7a2dcc712f9cd62ac7a5a9f12afa9aee44
parent012169d50b5559474a264fd95d10c668f47d8403 (diff)
parentc129e175e74ed9498ff4c6601013cf08f18bec39 (diff)
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@@ -11,17 +11,17 @@ With TransQuest, we have opensourced our research in translation quality estimat
- Pre-trained quality estimation models for fifteen language pairs are available in [HuggingFace.](https://huggingface.co/TransQuest)
## Table of Contents
-1. **[Installation](https://tharindudr.github.io/TransQuest/install/)** - Install TransQuest locally using pip.
+1. **[Installation](https://tharindu.co.uk/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.
+ 1. [Sentence-level Architectures](https://tharindu.co.uk/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/)
+ 2. [Word-level Examples](https://tharindu.co.uk/TransQuest/architectures/word_level_architecture/)
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
+ 1. [Sentence-level Models](https://tharindu.co.uk/TransQuest/models/sentence_level_pretrained/)
+ 2. [Word-level Models](https://tharindu.co.uk/TransQuest/models/word_level_pretrained/)
+5. **[Contact](https://tharindu.co.uk/TransQuest/contact/)** - Contact us for any issues with TransQuest
## Resources