Metadata-Version: 2.1
Name: ctxpro
Version: 0.0.4
Summary: Simple toolkit that extracts ambiguities in documents that require context to resolve.
Home-page: https://github.com/rewicks/MultiPro
Author: Rachel Wicks
Author-email: rewicks@jhu.edu
Maintainer-email: rewicks@jhu.edu
License: Apache License 2.0
Keywords: evaluation sets, document translation, context-aware translation, machine translation, data processing, preprocessing, evaluation, NLP, natural language processing, computational linguistics
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3,<3.12
Provides-Extra: identify
License-File: LICENSE

CTXPRO is a rule-based toolkit for annotating examples of ambiguity found in parallel documents.It further provides access to the CTXPRO evaluation sets and scoring scripts.
