Skip to main content

A python module for processing ELAN and Praat annotation files

Project description

Introduction

Pympi is a package that allows you to interact with Elan files and TextGrid files. You can create, edit and convert both formats into each other. It includes besides all the basic functions also functions for: - Calculating gaps and overlaps between speakers conform Heldner and Edlund’s method. (Could be used to calculate floor transfers) - Shift annotations in both directions (Could be used when due to an error all annotations are misaligned). - Import from CLAN’s chat files. - Merge and or filter tiers (Could be used to combine hands in gesture coding) - Move tiers between elan files. - Etc.

Requirements

None

Optional requirements

  • lxml is used for testing.

Documentation and downloads

Full api documentation of the current and old versions can be found on here.

Pypi repository location can be found here.

Installation

Automatic

  • From a shell run with administrator rights:

    pip install pympi-ling
  • Or alternatively run with administrator rights:

    easy_install pympi-ling

NOTE: on windows the executable might not be in $PATH.

Manual

  1. Download the latest version from pypi

  2. Untar the file

  3. From that directory run with administrator rights

    python setup.py install

How to cite

@misc{pympi-1.70,
    author={Lubbers, Mart and Torreira, Francisco},
    title={pympi-ling: a Python module for processing ELANs EAF and Praats TextGrid annotation files.},
    howpublished={\url{https://pypi.python.org/pypi/pympi-ling}},
    year={2013-2021},
    note={Version 1.70}
}

Authors

Mart Lubbers (mart at martlubbers.net) and Francisco Toreirra (francisco.torreira at mpi.nl)

and with contributions from: sarpu, hadware, thomaskisler, mome, mimrock and xrotwang

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

pympi-ling-1.70.2.tar.gz (32.9 kB view details)

Uploaded Source

Built Distribution

pympi_ling-1.70.2-py2.py3-none-any.whl (24.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pympi-ling-1.70.2.tar.gz.

File metadata

  • Download URL: pympi-ling-1.70.2.tar.gz
  • Upload date:
  • Size: 32.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.4.2 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for pympi-ling-1.70.2.tar.gz
Algorithm Hash digest
SHA256 30313054bfd71e6e48d66a80bca1d329fc337f50f869ba357ddbecac36c4eee5
MD5 f58aa20177fef7acc57fb30826fb39c4
BLAKE2b-256 68d1f6d8b66670c87520fae01bd6aafa63983d1e05b962c0be2da6a86737aa74

See more details on using hashes here.

File details

Details for the file pympi_ling-1.70.2-py2.py3-none-any.whl.

File metadata

  • Download URL: pympi_ling-1.70.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 24.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.4.2 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for pympi_ling-1.70.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 06cd7c39c322a69bac39295fb9ea7a1aa9f32ba24939722bab2df58be1f87206
MD5 0c65c728559477a0a523ccab07573a05
BLAKE2b-256 fa79b7c044666e534fb97a7f050fb9236a612c3b5855991b7f3f3a2c69e04b12

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