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| author | Tharindu Ranasinghe <rhtdranasinghe@gmail.com> | 2021-07-23 11:30:09 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-07-23 11:30:09 +0300 |
| commit | ff2fac1ecf3c9aef89c8a1286b9a1e6b984addc3 (patch) | |
| tree | 12afabe8af56561dd363510e9a7a969858553df8 | |
| parent | fea11866ff3a0ce6aaac67c3a1f86938e41307a0 (diff) | |
058: Updating documentation
| -rw-r--r-- | README.md | 12 |
1 files changed, 6 insertions, 6 deletions
@@ -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.html)** - 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.html) - 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.html) 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.html) + 2. [Word-level Models](https://tharindu.co.uk/TransQuest/models/word_level_pretrained.html) +5. **[Contact](https://tharindu.co.uk/TransQuest/contact.html)** - Contact us for any issues with TransQuest ## Resources |