Update README to reflect main repo

README.md

@@ -1,22 +1,55 @@
 Marian
 ======
 
-[![Join the chat at https://gitter.im/marian-nmt](https://badges.gitter.im/amunmt/marian.svg)](https://gitter.im/marian-nmt?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
-[![Build Status](http://vali.inf.ed.ac.uk/jenkins/buildStatus/icon?job=marian-dev)](http://vali.inf.ed.ac.uk/jenkins/job/marian-dev/)
-[![CPU Build Status](http://vali.inf.ed.ac.uk/jenkins/buildStatus/icon?job=marian-dev)](http://vali.inf.ed.ac.uk/jenkins/job/marian-dev-cpu/)
-[![Tests Status](http://vali.inf.ed.ac.uk/jenkins/buildStatus/icon?job=marian-regression-tests)](http://vali.inf.ed.ac.uk/jenkins/job/marian-regression-tests/)
-[![Twitter](https://img.shields.io/twitter/follow/marian_nmt.svg?style=social&label=Follow)](https://twitter.com/intent/follow?screen_name=marian_nmt)
+ <p>
+  <b>Marian</b> (formerly known as AmuNMT) is an efficient Neural Machine Translation framework written
+  in pure C++ with minimal dependencies. Named in honour of Marian Rejewski, a Polish mathematician and cryptologist.
+  
+  Named in honour of Marian Rejewski, a Polish mathematician and cryptologist.
 
-**Marian** is a C++ GPU-specific parallel automatic differentiation library
-with operator overloading. It is the training framework used in the Marian
-toolkit. This repository is the development repo of
-https://github.com/marian-nmt/marian, use it at your own risk.
+  <!--It has mainly been developed at the
+  Adam Mickiewicz University in Poznań (AMU) and at the University of Edinburgh.-->
+  </p>
 
-https://github.com/marian-nmt/marian is updated with stable versions of this
-repository.
+  <!--p>
+  It is currently being deployed in
+  multiple European projects and is the main translation and training engine
+  behind the neural MT launch at the
+  <a href="http://www.wipo.int/pressroom/en/articles/2016/article_0014.html">World Intellectual Property Organization</a>.
+  </p-->
 
-Named in honour of Marian Rejewski, a Polish mathematician and cryptologist.
+  <p>
+  Main features:
+  <ul>
+    <li> Fast multi-gpu training and translation </li>
+    <li> Compatible with Nematus and DL4MT </li>
+    <li> Efficient pure C++ implementation </li>
+    <li> Permissive open source license (MIT) </li>
+    <li> <a href="https://marian-nmt.github.io/features/"> more details... </a> </li>
+  </ul>
+  </p>
 
+If you use this, please cite:
+
+Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, Alexandra Birch (2018). Marian: Fast Neural Machine Translation in C++ (http://www.aclweb.org/anthology/P18-4020)
+
+    @InProceedings{mariannmt,
+        title     = {Marian: Fast Neural Machine Translation in {C++}},
+        author    = {Junczys-Dowmunt, Marcin and Grundkiewicz, Roman and
+                     Dwojak, Tomasz and Hoang, Hieu and Heafield, Kenneth and
+                     Neckermann, Tom and Seide, Frank and Germann, Ulrich and
+                     Fikri Aji, Alham and Bogoychev, Nikolay and
+                     Martins, Andr\'{e} F. T. and Birch, Alexandra},
+        booktitle = {Proceedings of ACL 2018, System Demonstrations},
+        pages     = {116--121},
+        publisher = {Association for Computational Linguistics},
+        year      = {2018},
+        month     = {July},
+        address   = {Melbourne, Australia},
+        url       = {http://www.aclweb.org/anthology/P18-4020}
+    }
+
+<!--
 ## Compilation
 
 ```
@@ -26,19 +59,15 @@ cd build
 cmake .. -DCMAKE_BUILD_TYPE=Release
 make -j
 ```
+-->
 
 ## Website
 
 More information on https://marian-nmt.github.io
 
-## Mailing lists
-
-* General google group: https://groups.google.com/forum/#!forum/marian-nmt (for users and developers)
-* Google group for commit messages: https://groups.google.com/forum/#!forum/marian-nmt-commits (for developers)
-
-## Contributions
-
-See [CONTRIBUTING.md](https://github.com/marian-nmt/marian-dev/blob/master/CONTRIBUTING.md)
+- [Quick start](https://marian-nmt.github.io/quickstart)
+- [Installation and usage documentation](https://marian-nmt.github.io/docs)
+- [Usage examples](https://marian-nmt.github.io/examples)
 
 ## Acknowledgements
 
@@ -55,4 +84,3 @@ National Intelligence (ODNI), Intelligence Advanced Research Projects Activity
 (IARPA), via contract #FA8650-17-C-9117.
 
 This software contains source code provided by NVIDIA Corporation.
-