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%global _empty_manifest_terminate_build 0
Name: python-spacy-cld
Version: 0.1.0
Release: 1
Summary: spaCy pipeline component for guessing the language of Doc and Span objects.
License: MIT
URL: https://github.com/nickdavidhaynes/spacy-cld
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e3/3b/f5344007259b5beb0a8e0d7b9e6b0d2c5c4dcfe674bc94b7497bcc201ee0/spacy_cld-0.1.0.tar.gz
BuildArch: noarch
%description
# spaCy-CLD: Bringing simple language detection to spaCy
## Installation
`pip install spacy_cld`
## Usage
Adding the spaCy-CLD component to the processing pipeline is relatively simple:
```
import spacy
from spacy_cld import LanguageDetector
nlp = spacy.load('en')
language_detector = LanguageDetector()
nlp.add_pipe(language_detector)
doc = nlp('This is some English text.')
doc._.languages # ['en']
doc._.language_scores['en'] # 0.96
```
spaCy-CLD operates on `Doc` and `Span` spaCy objects. When called on a `Doc` or `Span`, the object is given two attributes: `languages` (a list of up to 3 language codes) and `language_scores` (a dictionary mapping language codes to confidence scores between 0 and 1).
## Under the hood
spacy-cld is a little extension that wraps the [PYCLD2](https://github.com/aboSamoor/pycld2) Python library, which in turn wraps the [Compact Language Detector 2](https://github.com/CLD2Owners/cld2) C library originally built at Google for the Chromium project. CLD2 uses character n-grams as features and a Naive Bayes classifier to identify 80+ languages from Unicode text strings (or XML/HTML). It can detect up to 3 different languages in a given document, and reports a confidence score (reported in with each language.
For additional details, see the linked project pages for PYCLD2 and CLD2.
%package -n python3-spacy-cld
Summary: spaCy pipeline component for guessing the language of Doc and Span objects.
Provides: python-spacy-cld
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-spacy-cld
# spaCy-CLD: Bringing simple language detection to spaCy
## Installation
`pip install spacy_cld`
## Usage
Adding the spaCy-CLD component to the processing pipeline is relatively simple:
```
import spacy
from spacy_cld import LanguageDetector
nlp = spacy.load('en')
language_detector = LanguageDetector()
nlp.add_pipe(language_detector)
doc = nlp('This is some English text.')
doc._.languages # ['en']
doc._.language_scores['en'] # 0.96
```
spaCy-CLD operates on `Doc` and `Span` spaCy objects. When called on a `Doc` or `Span`, the object is given two attributes: `languages` (a list of up to 3 language codes) and `language_scores` (a dictionary mapping language codes to confidence scores between 0 and 1).
## Under the hood
spacy-cld is a little extension that wraps the [PYCLD2](https://github.com/aboSamoor/pycld2) Python library, which in turn wraps the [Compact Language Detector 2](https://github.com/CLD2Owners/cld2) C library originally built at Google for the Chromium project. CLD2 uses character n-grams as features and a Naive Bayes classifier to identify 80+ languages from Unicode text strings (or XML/HTML). It can detect up to 3 different languages in a given document, and reports a confidence score (reported in with each language.
For additional details, see the linked project pages for PYCLD2 and CLD2.
%package help
Summary: Development documents and examples for spacy-cld
Provides: python3-spacy-cld-doc
%description help
# spaCy-CLD: Bringing simple language detection to spaCy
## Installation
`pip install spacy_cld`
## Usage
Adding the spaCy-CLD component to the processing pipeline is relatively simple:
```
import spacy
from spacy_cld import LanguageDetector
nlp = spacy.load('en')
language_detector = LanguageDetector()
nlp.add_pipe(language_detector)
doc = nlp('This is some English text.')
doc._.languages # ['en']
doc._.language_scores['en'] # 0.96
```
spaCy-CLD operates on `Doc` and `Span` spaCy objects. When called on a `Doc` or `Span`, the object is given two attributes: `languages` (a list of up to 3 language codes) and `language_scores` (a dictionary mapping language codes to confidence scores between 0 and 1).
## Under the hood
spacy-cld is a little extension that wraps the [PYCLD2](https://github.com/aboSamoor/pycld2) Python library, which in turn wraps the [Compact Language Detector 2](https://github.com/CLD2Owners/cld2) C library originally built at Google for the Chromium project. CLD2 uses character n-grams as features and a Naive Bayes classifier to identify 80+ languages from Unicode text strings (or XML/HTML). It can detect up to 3 different languages in a given document, and reports a confidence score (reported in with each language.
For additional details, see the linked project pages for PYCLD2 and CLD2.
%prep
%autosetup -n spacy-cld-0.1.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-spacy-cld -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.0-1
- Package Spec generated
|
