Skip to main content

Libraries and scripts for DELPH-IN data

Project description

PyDelphin — Python libraries for DELPH-IN data

PyPI Version Python Support Test Status Documentation Status Discourse topics

DELPH-IN is an international consortium of researchers committed to producing precise, high-quality language processing tools and resources, primarily in the HPSG syntactic and MRS semantic frameworks, and PyDelphin is a suite of Python libraries for processing data and interacting with tools in the DELPH-IN ecosystem. PyDelphin's goal is to lower the barriers to making use of DELPH-IN resources to help users quickly build applications or perform experiments, and it has been successfully used for research into machine translation (e.g., Goodman, 2018), sentence chunking (Muszyńska, 2016), neural semantic parsing (Buys & Blunsom, 2017), natural language generation (Hajdik et al., 2019), and more.

Documentation, including guides and an API reference, is available here: http://pydelphin.readthedocs.io/

New to PyDelphin? Want to see examples? Try the walkthrough.

Installation and Upgrading

Get the latest release of PyDelphin from PyPI:

$ pip install pydelphin

For more information about requirements, installing from source, and running unit tests, please see the documentation.

API changes in new versions are documented in the CHANGELOG, but for any unexpected changes please file an issue.

Features

PyDelphin contains the following modules:

Semantic Representations:

Semantic Components and Interfaces:

Grammar and Parse Inspection:

Tokenization:

Corpus Management and Processing:

Interfaces with External Processors:

Core Components and Command Line Interface:

Other Information

Getting Help

Please use the issue tracker for bug reports, feature requests, and documentation requests. For more general questions and support, try one of the following channels maintained by the DELPH-IN community:

Citation

Please use the following for academic citations (and see: https://ieeexplore.ieee.org/abstract/document/8939628):

@INPROCEEDINGS{Goodman:2019,
  author={Goodman, Michael Wayne},
  title={A Python Library for Deep Linguistic Resources},
  booktitle={2019 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)},
  year={2019},
  month=oct,
  address={Singapore},
  keywords={research software;linguistics;semantics;HPSG;computational linguistics;natural language processing;open source software}
}

Acknowledgments

Thanks to PyDelphin's contributors and all who've participated by filing issues and feature requests. Also thanks to the users of PyDelphin!

Related Software

Spelling

Earlier versions of PyDelphin were spelled "pyDelphin" with a lower-case "p" and this form is used in several publications. The current recommended spelling has an upper-case "P".

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PyDelphin-1.6.0.tar.gz (146.6 kB view details)

Uploaded Source

Built Distribution

PyDelphin-1.6.0-py3-none-any.whl (177.0 kB view details)

Uploaded Python 3

File details

Details for the file PyDelphin-1.6.0.tar.gz.

File metadata

  • Download URL: PyDelphin-1.6.0.tar.gz
  • Upload date:
  • Size: 146.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for PyDelphin-1.6.0.tar.gz
Algorithm Hash digest
SHA256 4d484457b86e647ecd2d15fd16141576eba0ca7577b7ba6538b36c04c206041b
MD5 ce4ea67036abb693e292cb0b7b83421a
BLAKE2b-256 933d04d767d98c1c4518ac66d490edadc75ed07502fff9f6d4a1d641172b44bd

See more details on using hashes here.

File details

Details for the file PyDelphin-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: PyDelphin-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 177.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for PyDelphin-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1ae7480c2a4721ef1ab38532deedf5d95a8b174dd919753fbb7dcb20e403d4fe
MD5 cfe5167500561ed3cd3af30d5a83e1c8
BLAKE2b-256 d6d462e959f7a5793c17d000837170cea73ab45b595238e017a23b87b798a2fd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page