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• codemeta-server

  1 resources

  Web API serving codemeta software metadata using codemeta and schema.org, provides a SPARQL endpoint and also offers a human web-interface

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• text-fabric

  2 resources

  Processor and browser for annotated text corpora

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• codemeta2html

  1 resources

  Convert software metadata in codemeta to html for visualisation, can generate fully-fledged static sites that serve well as a portal for a collection of software

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• AnnoRepo

  2 resources

  Implementation of W3C Web Annotation Protocol (root project)

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• mbt

  1 resources

  MBT is a memory-based tagger-generator and tagger in one. The tagger-generator part can generate a sequence tagger on the basis of a training set of tagged sequences; the tagger part can tag new sequences. MBT can, for instance, be used to generate part-of-speech taggers or chunkers for natural language processing. It has also been used for named-entity recognition, information extraction in domain-specific texts, and disfluency chunking in transcribed speech.

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• codemeta-harvester

  2 resources

  Harvest and aggregate codemeta from source repositories and service endpoints, automatically converting known metadata schemes in the process

• Frog-Webservice

  2 resources

  Frog is a suite containing a tokeniser, Part-of-Speech tagger, lemmatiser, morphological analyser, shallow parser, and dependency parser for Dutch. This is the webservice for it, for both humans and machines.

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• CodeMetaPy

  1 resources

  Codemetapy is a command-line tool and python library to work with the codemeta software metadata standard. Codemeta builds upon schema.org and defines a vocabulary for describing software source code. It maps various existing metadata standards to a unified vocabulary. Codemetapy allows you to generate codemeta from various sources.

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• Frog

  1 resources

  Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. It performs automatic linguistic enrichment such as part of speech tagging, lemmatisation, named entity recognition, shallow parsing, dependency parsing and morphological analysis. All NLP modules are based on TiMBL.

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• ucto

  1 resources

  Ucto tokenizes text files: it separates words from punctuation, and splits sentences. This is one of the first tasks for almost any Natural Language Processing application. Ucto offers several other basic preprocessing steps such as changing case that you can all use to make your text suited for further processing such as indexing, part-of-speech tagging, or machine translation.

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