cld2-cffi
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Python bindings to the Compact Language Detector
CLD2-CFFI - Python (CFFI) Bindings for Compact Language Detector 2
CFFI <cffi.readthedocs.org>
_ bindings for CLD2
|pypi| |build| |win-build| |coverage| |lint|
This package contains the CLD (Compact Language Detection) library as
maintained by Dick Sites (https://code.google.com/p/cld2/). The first
fork was done at revision r161. It also contains python bindings that
were originally created by Mike McCandless <http://code.google.com/p/chromium-compact-language-detector>
.
The bindings have gone through several hands, with the latest changes being made
to rework the bindings for CFFI <cffi.readthedocs.org>
.
These bindings are identical in API to the original cld2 bindings, and as a result can be used as a drop in replacement.
The LICENSE_ is the same as Chromium's LICENSE and is included in the LICENSE_ file for reference.
========== Installing
Should be as simple as
.. code-block:: bash
$ pip install cld2-cffi
Development Version
The latest development version can be installed directly from GitHub:
.. code-block:: bash
$ pip install --upgrade 'git+https://github.com/GregBowyer/cld2-cffi.git'
===== Usage
.. code-block:: python
import cld2
isReliable, textBytesFound, details = cld2.detect("This is my sample text")
print(' reliable: %s' % (isReliable != 0))
print(' textBytes: %s' % textBytesFound)
print(' details: %s' % str(details))
# The output looks like so:
# reliable: True
# textBytes: 24
# details: (('ENGLISH', 'en', 95, 1736.0), ('Unknown', 'un', 0, 0.0), ('Unknown', 'un', 0, 0.0))
============= Documentation
First, you must get your content (plain text or HTML) encoded into UTF8 bytes. Then, detect like this:
.. code-block:: python
isReliable, textBytesFound, details = cld2.detect(bytes)
isReliable
is True if the top language is much better than 2nd best language.
textBytesFound
tells you how many actual bytes CLD analyzed (after removing HTML tags,
collapsing areas of too-many-spaces, etc.).
details
has an entry per top 3 languages that matched, that includes the percent
confidence of the match as well as a separate normalized score.
The module exports these global constants:
cld2.ENCODINGS
list of the encoding names CLD recognizes (if you provide hintEncoding, it
must be one of these names).
cld2.LANGUAGES
list of languages and their codes (if you provide hintLanguageCode, it must
be one of the codes from these codes).
cld2.EXTERNAL_LANGUAGES
list of external languages and their codes. Note that external languages
cannot be hinted, but may be matched if you pass
includeExtendedLanguages=True
(the default).
cld2.DETECTED_LANGUAGES
list of all detectable languages, as best I can determine (this was reverse
engineered from a unit test, ie it contains a language X if that language
was tested and passes for at least one example text).
======= Authors
Please see AUTHORS <https://github.com/GregBowyer/cld2-cffi/blob/master/BUG_REPORTS.rst>
_.
============== Reporting bugs
Please see BUG_REPORTS <https://github.com/GregBowyer/cld2-cffi/blob/master/BUG_REPORTS.rst>
_.
========== Contribute
Please see CONTRIBUTING <https://github.com/GregBowyer/cld2-cffi/blob/master/CONTRIBUTING.rst>
_.
======= Licence
Please see LICENSE_.
.. _LICENSE: https://github.com/GregBowyer/cld2-cffi/blob/master/LICENSE
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