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• GrETEL

  2 resources

  Search engine for the exploitation of syntactically annotated corpora or treebanks

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• Pretrained models for recognising sex education concepts SemSEX 1.0

  6 resources

  Pretrained language models for detecting and classifying the presence of sex education concepts in Slovene curriculum documents. The models are PyTorch neural network models, intended for usage with the HuggingFace transformers library (https://github.com/huggingface/transformers). The models are based on the Slovenian RoBERTa contextual embeddings model SloBERTa 2.0 (http://hdl.handle.net/11356/1397) and on the CroSloEngual BERT model (http://hdl.handle.net/11356/1330). The source code of the model and example usage is available in GitHub repository https://github.com/TimotejK/SemSex. The models and tokenizers can be loaded using the AutoModelForSequenceClassification.from_pretrained() and the AutoTokenizer.from_pretrained() functions from the transformers library. An example of such usage is available at https://github.com/TimotejK/SemSex/blob/main/Concept%20detection/Classifiers/full_pipeline.py. The corpus on which these models have been trained is available at http://hdl.handle.net/11356/1895.

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• Glem

  1 resources

  GLEM is a lemmatizer for Ancient Greek.

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• T-Scan

  1 resources

  T-Scan is an analysis tool for Dutch texts to assess the complexity of the text, and is based on original work by Rogier Kraf

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• CLAM

  1 resources

  Quickly turn command-line applications into RESTful webservices with a web-application front-end. You provide a specification of your command line application, its input, output and parameters, and CLAM wraps around your application to form a fully fledged RESTful webservice.

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• foliautils

  1 resources

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

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• TiMBL

  1 resources

  TiMBL is an open source software package implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification with feature weighting suitable for symbolic feature spaces, and IGTree, a decision-tree approximation of IB1-IG. All implemented algorithms have in common that they store some representation of the training set explicitly in memory. During testing, new cases are classified by extrapolation from the most similar stored cases.

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• mbt

  1 resources

  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.

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• 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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• PICCL

  1 resources

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

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