Natural Language Processing Web App

• Django 1.9 (Python 2.7)
• Freeling 4.0
• Stemmer-es
• Lematizador-es in R
• NLTK
• Stanford Parser
• Stanford Postagger
• Dan Bikel's Parser

Installing the required libraries

To install Freeling with Python, please refer here

Installation of PHP for the Stemmer-es

• We recommend to install aptitude

$ sudo apt-get install -y aptitude

• Install PHP5 and Python RPY2

$ sudo aptitude install -y php5-cli python-rpy2

• Update the repositories

$ sudo aptitude update

Installation of R for the Lematizador-es

• Install R and dependencies with:

$ sudo aptitude install -y r-base r-base-dev r-recommended libxml2-dev r-cran-xml

• Install fastmatch package in R

$ R

install.packages("fastmatch",,"http://rforge.net/",type="source")

$ q()

Installation of NPM and Bower package managers

• Install the NodeJS framework

$ curl -sL https://deb.nodesource.com/setup_4.x | sudo -E bash -

$ sudo aptitude install -y nodejs

• Install bower

$ npm install -g bower

Installation of Django and Virtualenv

$ pip install virtualenv

$ virtualenv env

$ source env/bin/activate

$ pip install -r npl_project/requirements.txt

Installation of the required front-end libraries

$ bower install

Installation of NLTK

$ sudo pip install -U nltk

$ python -c "import nltk; nltk.download('all')"

Installation of Java 8

$ sudo add-apt-repository ppa:webupd8team/java

$ sudo aptitude update

$ sudo aptitude install -y oracle-java8-installer

Installation of Stanford and Dan Bikel libraries

Create the directories static/stanford-parser, static/stanford-postagger and static/dbparser

And place the contents of the libraries in the corresponding directories

Download from:

• Dan Bikel's Parser Engine
• Stanford Parser
• Stanford Postagger

Running the App in localhost

$ python manage.py runserver

For morphological analysis in spanish

Go to URL /morpho_app/

For syntactic analysis in english

Go to URL /syntactic_app/