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• FoLiApy

  2 resources

  An extensive library for processing FoLiA documents. FoLiA stands for Format for Linguistic Annotation and is a very rich XML-based format used by various Natural Language Processing tools.

  Use "FoLiApy"

• folia

  2 resources

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

  Use "folia"

• stam

  2 resources

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

  Use "stam"

• Glem

  1 resources

  GLEM is a lemmatizer for Ancient Greek.

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• 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.

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• deepfrog

  2 resources

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

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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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• FoLiA tools

  2 resources

  FoLiA-tools contains various Python-based command line tools for working with FoLiA XML (Format for Linguistic Annotation)

  Use "FoLiA tools"

• 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"