Search results

• GaLAHaD

  2 resources

  GaLAHaD (Generating Linguistic Annotations for Historical Dutch) allows linguists to compare taggers, tag their own corpora, evaluate the results and export their tagged documents.

  Use "GaLAHaD"

• 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"

• 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"

• stamd

  2 resources

  Webservice for working with stand-off annotations on text (STAM)

  Use "stamd"

• stam

  2 resources

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

  Use "stam"

• stam-tools

  2 resources

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

  Use "stam-tools"

• shebanq

  2 resources

  Exposing the Hebrew Text Database of the ETCBC

  Use "shebanq"

• deepfrog

  2 resources

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

  Use "deepfrog"

• 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"

• stam

  2 resources

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

  Use "stam"