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Repositorio para la realización de los Trabajos Prácticos de la materia Procesamiento de Lenguaje Natural.

Home Page: http://cs.famaf.unc.edu.ar/wiki/materias/pln

Python 94.70% Shell 5.30%

pln-2015's Introduction

PLN 2015: Procesamiento de Lenguaje Natural 2015

Instalación

  1. Se necesita el siguiente software:

    • Git
    • Pip
    • Python 3.4 o posterior
    • TkInter
    • Virtualenv

    En un sistema basado en Debian (como Ubuntu), se puede hacer:

    sudo apt-get install git python-pip python3.4 python3-tk virtualenv
    
  2. Crear y activar un nuevo virtualenv. Recomiendo usar virtualenvwrapper. Se puede instalar así:

    sudo pip install virtualenvwrapper
    

    Y luego agregando la siguiente línea al final del archivo .bashrc:

    [[ -s "/usr/local/bin/virtualenvwrapper.sh" ]] && source "/usr/local/bin/virtualenvwrapper.sh"
    

    Para crear y activar nuestro virtualenv:

    mkvirtualenv --system-site-packages --python=/usr/bin/python3.4 pln-2015
    
  3. Bajar el código:

    git clone https://github.com/PLN-FaMAF/PLN-2015.git
    
  4. Instalarlo:

    cd pln-2015
    pip install -r requirements.txt
    

Ejecución

  1. Activar el entorno virtual con:

    workon pln-2015
    
  2. Correr el script que uno quiera. Por ejemplo:

    python languagemodeling/scripts/train.py -h
    

Testing

Correr nose:

nosetests

Chequear Estilo de Código

Correr flake8 sobre el paquete o módulo que se desea chequear. Por ejemplo:

flake8 languagemodeling

pln-2015's People

Contributors

giovannirescia avatar francolq avatar

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