Text Analytics Toolbox Model for UDify Data

作者: MathWorks Text Analytics Toolbox Team
Pretrained Deep Learning Model for Universal Dependency Annotation using Text Analytics Toolbox
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138.0 次下载
更新时间 2025/9/17
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)
MATLAB 版本兼容性
创建方式 R2022b
兼容 R2022b 到 R2025b 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux

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