link-grammar ☆
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Description:
Carnegie Mellon University's link grammar parser
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: nlp parsing grammar linguistics carnegie-mellon
Install: brew install link-grammar
About:
Link Grammar is a system for parsing and generating English sentences based on grammatical rules developed by Carnegie Mellon University. It analyzes sentence structure by identifying 'links' between words that represent grammatical relationships. This parser is particularly useful for natural language processing applications requiring syntactic analysis without statistical machine learning models.
Key Features:
  • Rule-based syntactic parser using grammatical linkages
  • Supports multiple languages including English, Russian, and German
  • Provides detailed grammatical analysis and sentence validation
  • C++ library with bindings for Python and other languages
  • Deterministic parsing suitable for constrained environments
Use Cases:
  • Natural language processing pipelines for syntactic analysis
  • Grammar checking and educational language tools
  • Chatbot and conversational AI systems for understanding sentence structure
  • Linguistic research and computational linguistics applications
Alternatives:
  • spaCy – Statistical NLP library with pre-trained models vs. rule-based deterministic parsing
  • Stanford CoreNLP – Comprehensive Java-based NLP suite vs. focused link grammar parser
  • NLTK – Python NLP toolkit with multiple algorithms vs. specialized link grammar system
Version History
Detected Version Rev Change Commit
Sep 26, 2025 8:06pm 0 VERSION_BUMP 150ca48f
Sep 16, 2025 6:25am 0 VERSION_BUMP 67a9d2e4
Nov 24, 2024 10:15am 0 VERSION_BUMP 5fbcd2df
Oct 12, 2024 12:56pm 0 VERSION_BUMP 424c4ce0
Sep 14, 2024 2:56pm 0 VERSION_BUMP 2dd00a5c
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