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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"

• stam

  2 resources

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

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• python-frog

  2 resources

  Python binding to Frog, an NLP suite for Dutch doing part-of-speech tagging, lemmatisation, morphological analysis, named-entity recognition, shallow parsing, and dependency parsing.

  Use "python-frog"

• ChoiceLLM

  1 resources

  Python command-line tool to use LLMs for rating items on a scale, comparative judgments, and multiple choice questions

• 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.

  Use "Frog-Webservice"

• 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-Webservice

  2 resources

  Ucto is a rule-based tokeniser for multiple languages. This is the webservice for it, for both humans and machines.

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• stam-tools

  2 resources

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

  Use "stam-tools"

• 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.

  Use "ucto"