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## Introduction
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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/).
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SimpleNLG-es es una adaptación bilingüe inglés / español de [SimpleNLG v4.4](https://github.com/simplenlg/simplenlg).
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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.
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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/).
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For details of its design and examples of its use, please refer to the following publication:
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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.
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* 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).
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The above paper is also the best academic citation for simplenlg.
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## Resumen de características
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For other papers and presentations about simplenlg, please see the Papers and Presentations page.
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SimpleNLG-es se encarga de lo siguiente:
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## Version history and hosting
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SimpleNLG is currently hosted on GitHub.
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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.
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## Summary of features
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SimpleNLG handles the following:
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* 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).
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* 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.
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Microplanning: Currently just simple aggregation, hopefully will grow over time. |
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* Lexicon / sistema de morfología: Calcula las formas conjugadas (realización morfológica).
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* Realiser: Genera textos de forma sintáctica.
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* Microplanning: Actualmente solo agregación simple. |
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