####################################### Installation of Hindi Parser #############################################################

1. create python2.7 conda environment
	conda create -n python2.7 python=2.7
2. activate python2.7 environment
	source activate python2.7
3. clone the parser directory 
	git clone https://github.com/PawarKishori/csnlp.git
4. Setup the path in bash for csnlp
	export hindi_parser=path/to/csnlp
	source ~/.bashrc
5. go inside the directory.
	cd csnlp
6. Install the parser requirements, either using conda or pip, but in the same python directory in which environment is activated.
	6.1.1 Install gensim package 
		conda install -c anaconda gensim 
	6.2.1 Install pip (as dynet will be installed using pip)
		sudo apt-get install python-pip  
	6.2.2 Install dynet using pip, as it was not available in conda
		/home/...path to python/anaconda2/bin/python2.7 -m pip install dynet
	6.2.3 Download the models for parser	
		git clone https://bitbucket.org/irshadbhat/nsdp-cs-models/src/c775772ec71639907771603c3071afe79e1382d9/PANINI/HI/PARSER
	6.2.4 Unzip using bunzip command:
		1) cd $hindi_parser/PARSER/PANINI/HI/PARSER
		2) bunzip2 *.bz2
		3) cd $hindi_parser/PARSER/UD/HI/PARSER
		4) bunzip2 *.bz2

7. Integrating tokenizer 
	7.1 clone tokenizer
		git clone https://irshadbhat@bitbucket.org/iscnlp/tokenizer.git
	7.2 cd tokenizer
	7.3 sudo python setup.py install (sudo apt-get install python-setuptools)


8. Testing : Hindi parser run command

	Run parser without tokenizer:
        python mono_jm_parser.py --load <path-of-csnlp-parser>/PARSER/PANINI/HI/PARSER/hi-bist-parser --test <inputfile-name> --output-file <outfile-name>
        Ex: python mono_jm_parser.py --load ~/hindi-parsers/csnlp/PARSER/PANINI/HI/PARSER/hi-bist-parser --test  test --output-file test_out


	Run parser with tokenizer:
	sh run_hindi_parser.sh /absolute/path/to/input_wx/file output_file	
	sh run_hindi_parser.sh /home/kishori/csnlp/demo demo.out


######################################## Installation of English Parser ###################################################################

Installation of English parser:
1. Download stanford parser:
        wget  https://nlp.stanford.edu/software/stanford-parser-full-2018-10-17.zip
2. Extract the zip
        unzip stanford-parser-full-2018-10-17.zip

3.  
run this file:

sh run_new_stanford-parser.sh </home/..path/to/input_file>  </home/..output_file_directory>