Parsing/home: Difference between revisions

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Additionally, a variety of tools for sentence splitting, tokenization, lemmatization, et al.
Additionally, a variety of tools for sentence splitting, tokenization, lemmatization, et al.
are available through the NLPL installations of the
are available through the NLPL installations of the
[http://nltk.org Natural Language Processing Toolkit (NLTK)]
[http://nltk.org Natural Language Processing Toolkit (NLTK)] and the
[https://en.wikipedia.org/wiki/SpaCy spaCy: Natural Language Processing in Python] tools.
[https://en.wikipedia.org/wiki/SpaCy spaCy: Natural Language Processing in Python] tools.



Revision as of 17:40, 30 January 2019

Background

An experimentation environment for data-driven dependency parsing is maintained for NLPL under the coordination of Uppsala University (UU). Initially, the software and data are commissioned on the Norwegian Abel supercluster.

Preprocessing Tools

Additionally, a variety of tools for sentence splitting, tokenization, lemmatization, et al. are available through the NLPL installations of the Natural Language Processing Toolkit (NLTK) and the spaCy: Natural Language Processing in Python tools.

Parsing Systems

Training and Evaluation Data