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        "author": "Ivan Arias Rodriguez",
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        "description": "# Syntactic Tagger\n\nThe Syntactic Tagger is a part-of-speech tagger that uses a lexicon extracted from an electronic dictionary and a plain text corpus to tag texts.\n\nApart from tagging the text tokens using syntactic tags based on the EAGLES proposal for Spanish, it also lemmatizes each token, creating a representation of the text as a list of lemmas.\n\nThe Syntactic Tagger works for Spanish, as it has taken the information from the Diccionario de la Real Academia Espa\u00c3\u00b1ola (in order to create the lexicon) and the Spanish Wikipedia (for the plain text corpus).\n\nThe creation of this software was supported by the Spanish Ministry of Education, Culture and Sport via a doctoral grant to Iv\u00c3\u00a1n Arias Rodr\u00c3\u00adguez (FPU16/04039). It has also been funded by research projects TIN2014-52010-R (RedR+Human) and TIN2017-88092 R (CetrO+Spec).\n\n------------------------------------------\n\nEl Syntactic Tagger es un etiquetador morfosint\u00c3\u00a1ctico que es capaz de etiquetar un texto usando un lexic\u00c3\u00b3n extra\u00c3\u00addo de un diccionario electr\u00c3\u00b3nico y un corpus de texto plano.\n\nAdem\u00c3\u00a1s de etiquetar morfosint\u00c3\u00a1cticamente el texto usando un repertorio de etiquetas basado en las recomendaciones EAGLES para el espa\u00c3\u00b1ol, tambi\u00c3\u00a9n lematiza cada token, creando una representaci\u00c3\u00b3n del texto como una lista de lemas.\n\nEl Syntactic Tagger funciona para el espa\u00c3\u00b1ol, ya que la informaci\u00c3\u00b3n para la creaci\u00c3\u00b3n del lexic\u00c3\u00b3n y del corpus de texto plano se ha obtenido del Diccionario de la Real Academia Espa\u00c3\u00b1ola y la Wikipedia espa\u00c3\u00b1ola, respectivamente.\n\nLa creaci\u00c3\u00b3n de este software fue apoyada por el Ministerio de Educaci\u00c3\u00b3n, Cultura y Deporte de Espa\u00c3\u00b1a, a trav\u00c3\u00a9s de una beca doctoral otorgada a Iv\u00c3\u00a1n Arias Rodr\u00c3\u00adguez (FPU16/04039). Tambi\u00c3\u00a9n ha sido financiado por los proyectos de investigaci\u00c3\u00b3n TIN2014-52010-R (RedR+Human) y TIN2017-88092 R (CetrO+Spec).\n\n\n",
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