genlm-grammar 0.1.0

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GenLM Grammar

A Python library for working with weighted context-free grammars (WCFGs), weighted finite state automata (WFSAs) and weighted finite state transducers (WFSTs). The library provides efficient implementations for grammar operations, parsing algorithms, and language model functionality.

Key Features

Grammar Operations

• Support for weighted context-free grammars with various semirings (Boolean, Float, Real, MaxPlus, MaxTimes, etc.)
• Grammar transformations:
  • Local normalization
  • Removal of nullary rules and unary cycles
  • Grammar binarization
  • Length truncation
  • Renaming/renumbering of nonterminals

Parsing Algorithms

• Earley parsing (O(n³|G|) complexity)
  • Standard implementation
  • Rescaled version for numerical stability
• CKY parsing
  • Incremental CKY with chart caching
  • Support for prefix computations

Language Model Interface

• BoolCFGLM: Boolean-weighted CFG language model
• CKYLM: Probabilistic CFG language model using CKY
• EarleyLM: Language model using Earley parsing

Finite State Automata

• Weighted FSA implementation
• Operations:
  • Epsilon removal
  • Minimization (Brzozowski's algorithm)
  • Determinization
  • Composition
  • Reversal
  • Kleene star/plus

Additional Features

• Semiring abstractions (Boolean, Float, Log, Entropy, etc.)
• Efficient chart and agenda-based algorithms
• Grammar-FST composition
• Visualization support via Graphviz

Quick Start

Installation

Clone the repository:

git clone [e-mail]:chisym/genlm-grammar.git
cd genlm-grammar

and install with pip:

pip install .

This installs the package without development dependencies. For development, install in editable mode with:

pip install -e ".[test,docs]"

which also installs the dependencies needed for testing (test) and documentation (docs).

Requirements

• Python >= 3.10
• The core dependencies listed in the setup.py file of the repository.

Testing

When test dependencies are installed, the test suite can be run via:

pytest tests

Documentation

Documentation is generated using mkdocs and hosted on GitHub Pages. To build the documentation, run:

mkdocs build

To serve the documentation locally, run:

mkdocs serve