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1. pyMMAX2: Deep access to MMAX2 projects from Python

   Autor*in: Müller, Mark-Christoph

   Erschienen: 2022

   Verlag:  Stroudsburg, Pennsylvania : Association for Computational Linguistics ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

   pyMMAX2 is an API for processing MMAX2 stand-off annotation data in Python. It provides a lightweight basis for the development of code which opens up the Java- and XML-based ecosystem of MMAX2 for more recent, Python-based NLP and data science... mehr

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   Volltext:	https://ids-pub.bsz-bw.de/frontdoor/index/index/docId/11084 https://ids-pub.bsz-bw.de/files/11084/Mueller_pyMMAX2_2020.pdf
   Zitierfähiger Link:	https://nbn-resolving.org/urn:nbn:de:bsz:mh39-110848

   pyMMAX2 is an API for processing MMAX2 stand-off annotation data in Python. It provides a lightweight basis for the development of code which opens up the Java- and XML-based ecosystem of MMAX2 for more recent, Python-based NLP and data science methods. While pyMMAX2 is pure Python, and most functionality is implemented from scratch, the API re-uses the complex implementation of the essential business logic for MMAX2 annotation schemes by interfacing with the original MMAX2 Java libraries. pyMMAX2 is available for download at github.com/nlpAThits/pyMMAX2.

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   Quelle:	BASE Fachausschnitt Germanistik
   Sprache:	Englisch
   Medientyp:	Konferenzveröffentlichung
   Format:	Online
   DDC Klassifikation:	Sprache (400)
   Schlagworte:	Computerlinguistik; Python; API; XML; Neurolinguistisches Programmieren; Data Science
   Lizenz:	creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess