SimpleNLG is a simple Java API designed to facilitate the generation of Natural Language. It was originally developed at the [University of Aberdeen's Department of Computing Science](http://www.abdn.ac.uk/ncs/departments/computing-science/).
SimpleNLG-es es una adaptación bilingüe inglés / español de [SimpleNLG v4.4](https://github.com/simplenlg/simplenlg).
SimpleNLG is intended to function as a "realisation engine" for Natural Language Generation architectures, and has been used successfully in a number of projects, including the BabyTalk and BabyTalk-Family Projects.
SimpleNLG es una API de Java diseñada para facilitar la generación de lenguaje natural. Originalmente fue desarrollada en el [Departamento de Ciencias de la Computación de la Universidad de Aberdeen](http://www.abdn.ac.uk/ncs/departments/computing-science/).
For details of its design and examples of its use, please refer to the following publication:
SimpleNLG está diseñado para funcionar como un "motor de realización" para las arquitecturas de generación de lenguaje natural, y se ha utilizado con éxito en múltiples proyectos.
* A. Gatt and E. Reiter. (2009). [SimpleNLG: A realisation engine for practical applications](http://aclweb.org/anthology/W/W09/W09-0613.pdf). Proceedings of the 12th European Workshop on Natural Language Generation (ENLG-09).
The above paper is also the best academic citation for simplenlg.
## Resumen de características
For other papers and presentations about simplenlg, please see the Papers and Presentations page.
SimpleNLG-es se encarga de lo siguiente:
## Version history and hosting
SimpleNLG is currently hosted on GitHub.
Earlier versions of SimpleNLG can be are no longer being maintained. Please note that earlier versions of simplenlg have different licensing, in particular versions before V4.0 cannot be used commercially.
## Summary of features
SimpleNLG handles the following:
* Lexicon/morphology system: The default lexicon computes inflected forms (morphological realisation). We believe this has fair coverage. Better coverage can be obtained by using the [NIH Specialist Lexicon](http://lexsrv3.nlm.nih.gov/LexSysGroup/Projects/lexicon/current/web/)(which is supported by simplenlg).
* Realiser: Generates texts from a syntactic form. Grammatical coverage is very limited compared to tools such as KPML and FUF/SURGE, but we believe it is adequate for many NLG tasks.
Microplanning: Currently just simple aggregation, hopefully will grow over time.
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* Lexicon / sistema de morfología: Calcula las formas conjugadas (realización morfológica).
* Realiser: Genera textos de forma sintáctica.
* Microplanning: Actualmente solo agregación simple.
