All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog and this project adheres to Semantic Versioning.
- The
characters_to_jyutping
function can now take a list of strings as input with user-provided word segmentation.
- Updated versions of the dependencies:
pylangacq >= 0.17.0
andwordseg >= 0.0.4
. - Restructured the repository to use top-level
src/
andtests/
directories.
- Fixed word segmentation so that spaces between English words in the user input are now honored as word boundaries.
- Fixed feature extraction in part-of-speech tagging.
- Fixed known issues in the rime-cantonese data.
- If
parse_text
is given an empty input orNone
, now an emptyCHATReader
instance is returned. - If
parse_text
is given a non-empty list of utterances, then any empty utterance (e.g.,None
,""
) will now be represented by an emptyUtterance
instance inside the resultingCHATReader
output.
- Added the
parse_text
for analyzing Cantonese text data. - Characters-to-Jyutping conversion:
The
characters_to_jyutping
function now has thesegmenter
kwarg for customizing word segmentation. - Added support for Python 3.10.
- Turned on Windows testing on CircleCI.
- Added
pyproject.toml
. Related to preferringsetup.cfg
for specifying build metadata and options.
- Characters-to-Jyutping conversion:
For the
characters_to_jyutping
function, in case rime-cantonese and HKCanCor don't agree, rime-cantonese data (more accurate) is preferred. - Updated the rime-cantonese data to the latest
2021.05.16
release, improving both characters-to-Jyutping conversion and word segmentation. - Updated the PyLangAcq dependency to v0.16.0, allowing PyCantonese's
CHATReader
to use the new methodsto_chat
,to_strs
,info
,head
, andtail
. - Switched to
setup.cfg
to fully specify build metadata and options, while keeping a minimalsetup.py
for backward compatibility. Related to the newpyproject.toml
.
- Dropped support for Python 3.6.
- Turned on
safety
andbandit
checks at CircleCI builds.
- Allowed PyLangAcq v0.14.* for real.
- Allowed PyLangAcq v0.14.*, thereby adding the new features of the
filter
method toCHATReader
and optional parallelization for CHAT data processing.
- Fixed the
search
method ofCHATReader
whenby_tokens
isFalse
.
- Fixed the previously inoperational methods
append
,append_left
,extend
, andextend_left
of the classCHATReader
through the upstream PyLangAcq package. - Retrained the part-of-speech tagger, after the minor character fix from v3.2.3.
- Raised
NotImplementedError
for the methodipsyn
ofCHATReader
, since the upstream method works only for English.
- Fixed character issues in the built-in HKCanCor data: 𥄫
- Fixed a CHAT parsing issue when correction and repetition are combined, by bumping the pylangacq dependency from v0.13.0 to v0.13.1.
- Fixed character issues in the built-in HKCanCor data: 𠮩𠹌, 𠻗
Note: The underlying CHAT parser, the PyLangAcq package, has been bumped to v0.13.0. All of the updates of PyLangAcq's CHAT reader apply to this PyCantonese release as well. The details are in PyLangAcq's changelog for v0.13.0. The changelog entries below only document updates specific to PyCantonese.
- Defined the
Jyutping
class to better represent parsed Jyutping romanization.
- Bumped the PyLangAcq dependency to v0.13.0.
- The function
parse_jyutping
now returns a list ofJyutping
objects, rather than tuples of strings.
-
The following methods in the
CHATReader
class have been deprecated:character_sents
(usecharacters
withby_utterances=True
instead)jyutping_sents
(usejyutping
withby_utterances=True
instead)
-
The following arguments of the
search
method ofCHATReader
have been deprecated:sent_range
(useutterance_range
instead)tagged
(useby_tokens
instead)sents
(useby_utterances
instead)
- Fixed the character issues in the built-in HKCanCor data: 𠺢, 𠺝, 𡁜, 𧕴, 𥊙, 𡃓, 𠴕, 𡀔
- Pinned pylangacq at 0.12.0 (the new 0.13.0 has breaking changes).
- Part-of-speech tagging:
- Added the function
pos_tag
that takes a segmented sentence or phrase and returns its part-of-speech tags. - Added the function
hkcancor_to_ud
that maps a part-of-speech tag from the original HKCanCor annotated data to one of the tags from the Universal Dependencies v2 tagset.
- Added the function
- Word segmentation:
- Improved segmentation quality by revising the underlying wordlist data.
- The test suite now covers code snippets in both the docstrings and
.rst
doc files.
- Fixed the issue of not opening text files with UTF-8 encoding (a possible issue on Windows).
jyutping_to_yale
andparse_jyutping
now return a null value (rather than raise an error) when the input is null.- The word segmentation function
segment
now strips all whitespace from the input unsegmented string before segmenting it.
- Word segmentation:
- Segmentation is customizable for the following:
- Maximum word length
- A user-supplied list of words to allow as words
- A user-supplied list of words to disallow as words
- The default segmentation model has been improved with the rime-cantonese data (CC BY 4.0 license).
- Segmentation is customizable for the following:
- Characters-to-Jyutping conversion:
- The conversion returns results in a word-segmented form.
- The conversion model has been improved with the rime-cantonese data (CC BY 4.0 license).
- Added the following functions; they are equivalent to their (now deprecated)
x2y
counterparts:characters_to_jyutping
jyutping_to_tipa
jyutping_to_yale
- Added support for Python 3.9.
jyutping_to_yale
: The default value of the keyword argumentas_list
has been changed fromFalse
toTrue
, so that this function is now more in line with the other "jyutping_to_X" functions for returning a list.characters_to_jyutping
: The returned valued is now a list of segmented words, where each is a 2-tuple of (Cantonese characters, Jyutping). Previously, it was a list of Jyutping strings for the individual Cantonese characters.
- Switched documentation to the readthedocs theme and numpydoc docstring style.
- Improved CircleCI builds with orbs.
- The following
x2y
functions have been deprecated in favor of their equivalents named in the form ofx_to_y
.characters2jyutping
jyutping2tipa
jyutping2yale
- Turned on HTTPS for the pycantonese.org domain.
- Switched to the
wordseg
dependency to a PyPI source instead of a GitHub direct link.
- Added the
characters2jyutping()
function for converting Cantonese characters to Jyutping romanization. - Added the
segment()
function for word segmentation.
- Added support for Python 3.7 and 3.8.
- Dropped support for Python 3.4 and 3.5 (supporting 3.6, 3.7, and 3.8 now).
- 104 stop words.
- Exposed the
exclude
parameter in various reader methods for excluding specific participants. This parameter was implemented at pylangacq v0.10.0.
- Allowed "n" to be a syllabic nasal.
- Fixed corpus reader not picking up the characters.
- PyCantonese now requires Python 3.4 or above.
- Adopted the CHAT corpus format, piggybacking on PyLangAcq
- Converted HKCanCor into the CHAT format
- Switched to transparent function names
(cf. issue #10):
parse_jyutping()
,jyutping2yale()
,jyutping2tipa()
- Bug fixes: issues #6, #7, #8 #9
- Fixed the Jyutping-Yale conversion issue with "yu"
- Added
number_of_words()
andnumber_of_characters()
for corpus access - Forced all part-of-speech tags (both in searches and internal to corpus objects) in caps, in line with the NLTK convention
- Overall code restructuring
- Only Python 3.x is supported from this point onwards
- Used generators instead of lists for corpus access methods
- Added the part-of-speech search criterion
- Added Jyutping-to-Yale conversion
- Added Jyutping-to-TIPA conversion
- Disabled the function for reading a custom corpus dataset (it will come back)
- Fixed corpus access path issues
- The Hong Kong Cantonese Corpus is included in the package.
- A general-purpose
search()
function is defined, replacing the element-specific search functions from version 0.1.
- Basic functions available, including...
- Parsing Jyutping romanization
- Reading a tagged corpus data folder
- Searching by a given element (onset/initial, nucleus, coda, final, character)
- Searching by a character plus a range