pysle 4.0.2

An interface to ISLEX, an IPA pronunciation dictionary for English with stress and syllable markings.

pysle

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Pronounced like 'p' + 'isle'.

An interface to a pronunciation dictionary with stress markings (ISLEX - the international speech lexicon), along with some tools for working with comparing and aligning pronunciations (e.g. a list of phones someone said versus a standard or canonical dictionary pronunciation).

Table of contents

1. Documentation
2. Tutorials
3. Version History
4. Requirements
5. ISLE Dictionary
6. Installation
7. Upgrading
8. Usage
9. Common Use Cases
10. Citing psyle
11. Acknowledgements

Documentation

Automatically generated pdocs can be found here:

http://timmahrt.github.io/pysle/

Tutorials

There are tutorials available for learning how to use Pysle. These are in the form of IPython Notebooks which can be found in the /tutorials/ folder distributed with Pysle.

You can view them online using the external website Jupyter:

Tutorial 1: Introduction to Pysle

Tutorial 2: Pronunciationtools

Version History

Pysle uses semantic versioning (Major.Minor.Patch)

Please view CHANGELOG.md for version history.

Requirements

The following python modules are required. They should be installed automatically but you can install them manually if you have any problems.

• typing-extensions
• praatIO

Python 3.7.* or above

Click here to visit travis-ci and see the specific versions of python that pysle is currently tested under

If you are using Python 2.x or Python < 3.7, you can use Pysle 3.x.

ISLE Dictionary

pysle requires the ISLEdict pronunciation dictionary (copyright Mark Hasegawa-Johnson, licensed under the MIT open source license). This is bundled with psyle. However, you may want to use a subset of the pronunciations or you may want to add your own pronunciations.

In that case, please get the original file.

ISLEX github page

Direct link to the ISLEX file used in this project (ISLEdict.txt)

See examples/isletool_examples.py for an example of how to load a custom ISLEdict file.

Installation

Pysle is on pypi and can be installed or upgraded from the command-line shell with pip like so

python -m pip install pysle --upgrade

Otherwise, to manually install, after downloading the source from github, from a command-line shell, navigate to the directory containing setup.py and type

python setup.py install

If python is not in your path, you'll need to enter the full path e.g.

C:\Python36\python.exe setup.py install

Upgrading

Please view UPGRADING.md for detailed information about how to upgrade from earlier versions.

Usage

Here is a typical usage

from pysle import isletool
isle = isletool.Isle()
print(isle.lookup('catatonic')[0].toList()) # Get the first entry's pronunciation
# >> [[['k', 'ˌæ'], ['ɾ', 'ə'], ['t', 'ˈɑ'], ['n', 'ɪ', 'k']]]

and another

from pysle import isletool
from pysle import pronunciationtools

isle = isletool.Isle()

searchWord = 'another'
phoneList = ['n', 'ʌ', 'ð', 'ɚ']

returnList = pronunciationtools.findBestSyllabification(isle, searchWord, phoneList)
syllableList = returnList[2]
print(syllableList)
# >> [["''"], ['n', 'ʌ'], ['ð', 'ɚ']]

Please see \examples for example usage

Common Use Cases

What can you do with this library?

• look up the list of phones and syllables for canonical pronunciations of a word

  isletool.LexicalTool('ISLEdict.txt').lookup('cat')
  

• map an actual pronunciation to a dictionary pronunciation (can be used to automatically find speech errors)

  pronunciationtools.findClosestEntryForPhones(isleDict, 'cat', ['k', 'æ',])
  

• automatically syllabify a praat textgrid (see praatIO) containing words and phones (e.g. force-aligned text)

  pysle.syllabifyTextgrid(isleDict, praatioTextgrid, "words", "phones")
  

Citing pysle

Pysle is general purpose coding and doesn't need to be cited (you should cite the ISLEX project instead) but if you would like to, it can be cited like so:

Tim Mahrt. Pysle. https://github.com/timmahrt/pysle, 2016.

Acknowledgements

Development of Pysle was possible thanks to NSF grant IIS 07-03624 to Jennifer Cole and Mark Hasegawa-Johnson, NSF grant BCS 12-51343 to Jennifer Cole, José Hualde, and Caroline Smith, and to the A*MIDEX project (n° ANR-11-IDEX-0001-02) to James Sneed German funded by the Investissements d'Avenir French Government program, managed by the French National Research Agency (ANR).