PyCantonese: Cantonese Linguistics and NLP in Python

PyCantonese is a Python library for Cantonese linguistics and natural language processing (NLP). The goal of PyCantonese is to provide general-purpose tools and other functionality to work with Cantonese data. They include corpus search functions as well as various analytic and annotation tools; these and other possibilities are gradually added as the library grows and evolves.

Quick Examples

With PyCantonese imported:

>>> import pycantonese as pc
  1. Word segmentation

>>> pc.segment("廣東話好難學?")  # Is Cantonese difficult to learn?
['廣東話', '好', '難', '學', '?']
  1. Conversion from Cantonese characters to Jyutping

>>> pc.characters2jyutping('香港人講廣東話')  # Hongkongers speak Cantonese
[("香港人", "hoeng1gong2jan4"), ("講", "gong2"), ("廣東話", "gwong2dung1waa2")]
  1. Finding all verbs in the HKCanCor corpus

    In this example, we search for the regular expression '^V' for all words whose part-of-speech tag begins with “V” in the original HKCanCor annotations:

>>> corpus = pc.hkcancor() # get HKCanCor
>>> all_verbs ='^V')
>>> len(all_verbs)  # number of all verbs
>>> from pprint import pprint
>>> pprint(all_verbs[:10])  # print 10 results
[('去', 'V', 'heoi3', ''),
 ('去', 'V', 'heoi3', ''),
 ('旅行', 'VN', 'leoi5hang4', ''),
 ('有冇', 'V1', 'jau5mou5', ''),
 ('要', 'VU', 'jiu3', ''),
 ('有得', 'VU', 'jau5dak1', ''),
 ('冇得', 'VU', 'mou5dak1', ''),
 ('去', 'V', 'heoi3', ''),
 ('係', 'V', 'hai6', ''),
 ('係', 'V', 'hai6', '')]
  1. Parsing Jyutping for (onset, nucleus, coda, tone)

>>> pc.parse_jyutping('gwong2dung1waa2')  # 廣東話
[('gw', 'o', 'ng', '2'), ('d', 'u', 'ng', '1'), ('w', 'aa', '', '2')]

Download and Install

PyCantonese requires Python 3.6 or above. It is available via pip:

$ pip install --upgrade pycantonese

To test your installation in the Python interpreter:

>>> import pycantonese as pc
>>> pc.__version__  # show version number

Technical Support, Library Development, etc.

Questions, bug reports and suggested features are more than welcome. Please create issues on the GitHub page. Alternatively, you may contact Jackson Lee.

For updates, tips, and more:

How to Cite

PyCantonese is maintained by Jackson Lee.

A talk introducing PyCantonese:

Jackson L. Lee. 2015. PyCantonese: Cantonese linguistic research in the age of big data. Talk at the Childhood Bilingualism Research Centre, Chinese University of Hong Kong. September 15. 2015. [Notes+slides]

See Research Outputs for a running list of our work.