Text Analytics Toolbox Model for UDify Data
Pretrained Deep Learning Model for Universal Dependency Annotation using Text Analytics Toolbox
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Mise à jour
26 jan. 2026
This add-on provides a pre-trained deep learning model for dependency parsing using Universal Dependency Annotation with Text Analytics Toolbox. Dependency parsing is used to extract relationship between words in a sentence in Natural Language Processing (NLP). The pretrained model builds on BERT (deep learning transformer model) to extract dependency tree information for multiple languages, as defined by Universal Dependencies. For more information on the data, see: https://github.com/Hyperparticle/udify.
Usage Example:
% See the last two columns for dependency details, after running the following code:
>> document = tokenizedDocument("Wherever you go, there you are.");
>> document = addDependencyDetails(document);
>> tokenDetails(document)
% Visualize dependency tree
>> sentenceChart(document)
Compatibilité avec les versions de MATLAB
Créé avec
R2022b
Compatible avec les versions R2022b à R2026a
Plateformes compatibles
Windows macOS (Apple Silicon) macOS (Intel) LinuxTags
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