From ff2fac1ecf3c9aef89c8a1286b9a1e6b984addc3 Mon Sep 17 00:00:00 2001 From: Tharindu Ranasinghe Date: Fri, 23 Jul 2021 09:30:09 +0100 Subject: 058: Updating documentation --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 5a15a6a..f7d84ed 100644 --- a/README.md +++ b/README.md @@ -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 -- cgit v1.2.3