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• asrservice

  2 resources

  An Automatic Speech Recognition Service for a variety of languages, powered by WhisperX

  Use "asrservice"

• GaLAHaD Train Battery

  2 resources

  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.

• g2pservice

  2 resources

  Grapheme to Phoneme converter. Input is a list of words (utf8). Choose one of the language options.

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• AlpinoGraph

  3 resources

  AlpinoGraph is een tool om syntactisch geannoteerde corpora te doorzoeken. De tool maakt gebruik van AgensGraph. AgensGraph combineert databasetechnologie (PostgreSQL) en Cypher, de standaard zoektaal voor grafen. De zoek-queries die je in AlpinoGraph kunt gebruiken zijn daarom een mix van SQL en Cypher. Daar voegt AlpinoGraph nog enkele extra uitbreidingen aan toe, zoals een eenvoudig maar handig systeem van macro's, en visualisatie van de resultaten.

• Alpino

  3 resources

  Alpino parser and related tools for Dutch

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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.

  Use "FoLiA-Linguistic-Annotation-Tool"

• int-pie

  2 resources

  The PIE tagger with custom modifications by the Dutch Language Institute (INT).

• 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"

• 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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• ChoiceLLM

  1 resources

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