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• stam

  2 resources

  Stand-off Text Annotation Model (STAM) is a data model for stand-off-text annotation where any information on a text is represented as an annotation. This repository contains the model's full specification, extensions, schemas, examples and documentation.

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• text-fabric

  2 resources

  Processor and browser for annotated text corpora

  Use "text-fabric"

• folia

  2 resources

  High-performance library for handling the FoLiA XML format (Format for Linguistic Annotation)

  Use "folia"

• analiticcl

  2 resources

  Analiticcl is an approximate string matching or fuzzy-matching system that can be used to find variants for spelling correction or text normalisation

  Use "analiticcl"

• stam

  2 resources

  STAM is a powerful library for dealing with stand-off annotations on text. This is the Rust library.

  Use "stam"

• FoLiA-Linguistic-Annotation-Tool

  2 resources

  FLAT is a web-based linguistic annotation environment based around the FoLiA format (https://proycon.github.io/folia), a rich XML-based format for linguistic annotation. Flat allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm.

  Use "FoLiA-Linguistic-Annotation-Tool"

• Alpino-Webservice

  2 resources

  Alpino is a dependency parser for Dutch, developed in the context of the PIONIER Project Algorithms for Linguistic Processing, developed by Gertjan van Noord at the University of Groningen. This is the webservice for it. You can upload either tokenised or untokenised files (which will be automatically tokenised for you using ucto), the output will consist of a zip file containing XML files, one for each sentence in the input document.

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• deepfrog

  2 resources

  A deep learning NLP suite (PoS,lemmatiser,NER) with FoLiA XML support

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• stam-tools

  2 resources

  Command-line tools for working with stand-off annotations on text (STAM)

  Use "stam-tools"

• stam

  2 resources

  STAM is a library for dealing with standoff annotations on text, this is the python binding.

  Use "stam"