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  • mbt

    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.
  • Frog

    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.
  • python-frog

    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.
  • PaQu

    Met PaQu (Parse & Query) kun je zoeken in syntactisch geannoteerde Nederlandstalige corpora. PaQu ondersteunt twee manieren van zoeken. Met de eerste, eenvoudige, manier kun je naar woordparen zoeken, met daarbij eventueel hun syntactische relatie. De tweede, ingewikkeldere, manier gebruikt de zoektaal XPath. In PaQu is een aantal syntactisch geannoteerde corpora standaard beschikbaar. Maar het is ook mogelijk om je eigen teksten aan te bieden. Deze teksten worden dan door de automatische ontleder geanalyseerd, en opgeslagen. Vervolgens kun je dan op dezelfde manier in je eigen teksten zoeken.
  • GaLAHaD Train Battery

    Python program for training linguistic annotation taggers based on a configuration file and list of datasets. It prepares the resulting trained models for dockerization and adds relevant metadata. It is tagger software agnostic as long as a simple python shell is built around it.