Skip to main content

Libraries and scripts for DELPH-IN data

Project description

PyDelphin — Python libraries for DELPH-IN data

PyPI Version Python Support Build Status Documentation Status

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 PyDelphin-specific questions. 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-1.4.1.tar.gz (143.8 kB view details)

Uploaded Source

Built Distribution

PyDelphin-1.4.1-py3-none-any.whl (174.5 kB view details)

Uploaded Python 3

File details

Details for the file PyDelphin-1.4.1.tar.gz.

File metadata

  • Download URL: PyDelphin-1.4.1.tar.gz
  • Upload date:
  • Size: 143.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for PyDelphin-1.4.1.tar.gz
Algorithm Hash digest
SHA256 fa08779679b874856375e5532782a65d871e7964b0c23ce50e916a0d32f70344
MD5 fb399ddce62a7830b898e51c068d4e37
BLAKE2b-256 15c229622bf49e434f1463c4fac8d5f5440b65c52215d425047b7c308eb12dee

See more details on using hashes here.

File details

Details for the file PyDelphin-1.4.1-py3-none-any.whl.

File metadata

  • Download URL: PyDelphin-1.4.1-py3-none-any.whl
  • Upload date:
  • Size: 174.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for PyDelphin-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b316017aeecf7f69c8f65005b6dd5938d1cd5f7fb4b23a907b840170ed84cf0a
MD5 366d950e99c95a53d4a06cd3127f0b21
BLAKE2b-256 0554a4c686c4987d83a0c7350bda13245cef4ed5e203350d5742d0af9e8e529f

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