stanford-parser ☆
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Description:
Statistical NLP parser
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: nlp parsing natural-language-processing stanford java
Install: brew install stanford-parser
About:
The Stanford Parser is a probabilistic natural language processing tool that performs syntactic analysis of English text. It builds phrase structure trees and typed dependencies, providing deep linguistic analysis essential for advanced text processing. This implementation is widely used in research and industry for understanding grammatical structure.
Key Features:
  • Probabilistic context-free grammar parsing
  • Typed dependency extraction
  • Support for multiple input formats
  • Pre-trained models for English
  • Java-based cross-platform execution
Use Cases:
  • Building NLP pipelines for text analysis
  • Training custom parsing models for domain-specific languages
  • Information extraction from unstructured documents
  • Linguistic research and corpus analysis
Alternatives:
  • spaCy – Modern Python library with faster performance and neural models, but different parsing approach
  • Berkeley Parser – Alternative probabilistic parser with different grammatical formalism
Version History
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