Update README.md

README.md

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 # amuNN
 
+A C++ decoder for Neural Machine Translation (NMT) models trained with Theano-based scripts from DL4MT (https://github.com/nyu-dl/dl4mt-tutorial)
+
 ## Requirements:
- * CMake
- * Boost
- * CUDA
- * KenLM
+ * CMake 3.5.1
+ * Boost 1.5
+ * CUDA 7.5
+ * KenLM (https://github.com/kpu/kenlm, current master)
 
 ## Compilation
-The project is a standard Cmake project:
+The project is a standard Cmake out-of-source build:
 
     mkdir build
     cd build
-    cmake ..
+    cmake .. -DKENLM=path/to/kenlm
     make -j
 
-## KenLM
-To compile amuNN you need the lastest version of [kenLM](https://github.com/kpu/kenlm) and pass the path as a Cmake variable KENLM, e.g. :
-
-    cmake -DKENLM=../kenlm ..
-
 On Ubuntu 16.04, you need g++4.9 and cuda-7.5 and a boost version compiled with g++4.9
 
-    CUDA_BIN_PATH=/usr/local/cuda-7.5 BOOST_ROOT=/home/marcin/myboost cmake .. -DCMAKE_CXX_COMPILER=g++-4.9 -DCUDA_HOST_COMPILER=/usr/bin/g++-4.9
+    CUDA_BIN_PATH=/usr/local/cuda-7.5 BOOST_ROOT=/home/marcin/myboost cmake .. \
+    -DCMAKE_CXX_COMPILER=g++-4.9 -DCUDA_HOST_COMPILER=/usr/bin/g++-4.9
 
-Vocabularies need to be converted to text with the scripts in the scripts folder.
+Vocabularies (*.pkl extension) need to be converted to text with the scripts in the scripts folder.
+
+    python scripts/vocab2txt.py vocab.en.pkl > vocab.en