Stanford Part-Of-Speech Tagger
The Stanford Part-Of-Speech Tagger is a powerful Java-based tool that analyzes text and assigns parts of speech to words, including fine-grained tags like 'noun-plural'. It supports multiple languages and includes trained models for English, Arabic, Chinese, French, German, and Spanish, with options for retraining.
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Top Stanford Part-Of-Speech Tagger Features
- Multi-language support
- Fine-grained POS tagging
- Java implementation
- Command-line interface
- Server mode operation
- API access
- Trained models available
- Custom retraining capability
- Penn Treebank tag set
- Universal Dependencies tag set
- Comprehensive documentation included
- Dual licensing options
- Open-source code availability
- Memory-efficient models
- Community support via mailing lists
- Example tutorials provided
- Regular updates and maintenance.
