A Java library for parsing and generating text using combinatory categorial grammar and hybrid logic dependency semantics.
OpenCCG is a natural language processing library that parses and generates text using combinatory categorial grammar for syntax and hybrid logic dependency semantics for meaning representation. It provides tools for building and testing grammars, enabling computational linguistics research and applications that require precise syntactic and semantic analysis.
Computational linguists, NLP researchers, and developers building systems that require formal grammatical analysis and text generation capabilities.
OpenCCG offers a theoretically grounded, open-source implementation of CCG and HLDS, providing a robust framework for grammar development and experimentation that is not tied to proprietary NLP platforms.
OpenCCG library for parsing and realization with CCG
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Implements combinatory categorial grammar and hybrid logic dependency semantics, providing a principled, theory-driven approach to syntax and semantics as highlighted in the README.
Includes the tccg command-line tool for developing and testing grammars interactively, allowing real-time feedback and debugging during grammar development.
Supports generating visual dependency graphs with Graphviz and automatic HTML grammar documentation, aiding in semantic analysis and grammar maintenance.
Comes with an English grammar derived from CCGBank, enabling realistic language processing tasks and providing a starting point for customization.
Requires manual configuration of JAVA_HOME and OPENCCG_HOME, downloading external libraries separately from SourceForge, and careful handling of environment variables, as detailed in the README.
Relies on older technologies like Java 1.6+ and Python 2.4-2.7, which are no longer actively supported, limiting compatibility with modern systems and tools.
Documentation is scattered across PDFs, wiki pages, and external links, with some guides described as 'somewhat dated', making it challenging for new users to get started.