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• TICCLTools

  1 resources

  TicclTools is a collection of programs to process datafiles, together they constitute the bulk of TICCL: Text Induced Corpus-Cleanup. This software consists of individual modules that are invoked by the pipeline system PICCL.

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• I-Analyzer

  2 resources

  I-analyzer is a tool for exploring corpora (large collections of texts). You can use I-analyzer to find relevant documents, or to make visualisations to understand broader trends in the corpus. The interface is designed to be accessible for users of all skill levels. I-analyzer is primarily intended for academic research and higher education. We focus on data that is relevant for the humanities, but we are open to datasets that are relevant for other fields.

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• foliautils

  1 resources

  Command-line utilities for working with the Format for Linguistic Annotation (FoLiA).

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• Nederlab Pipeline

  1 resources

  A set of workflows for linguistic enrichment of historical dutch

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• PICCL

  1 resources

  A set of workflows for corpus building through OCR, post-correction, and normalisation.

  Use "PICCL"

• LaMachine

  1 resources

  LaMachine is a unified software distribution for Natural Language Processing. We integrate numerous open-source NLP tools, programming libraries, web-services, and web-applications in a single Virtual Research Environment that can be installed on a wide variety of machines.

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• Colibri Core

  1 resources

  Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way.

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• Slovenian commonsense reasoning model SloMET-ATOMIC 2020

  2 resources

  The SloMET-ATOMIC 2020 is a Slovene commonsense reasoning model that is able to predict commonsense descriptions in a natural language for a given input sentence. The model is an adaptation of the Slovene GPT-2 model (https://huggingface.co/cjvt/gpt-sl-base) that has been finetuned using the SloATOMIC 2020 corpus (http://hdl.handle.net/11356/1724), consisting of 1.33M everyday interence knowledge tuples about entities and events. The released model is a pytorch neural network model, intended for usage with the transformers library (https://github.com/huggingface/transformers).

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