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|
%global _empty_manifest_terminate_build 0
Name: python-truecase
Version: 0.0.14
Release: 1
Summary: A library to restore capitalization for text
License: MIT
URL: https://github.com/daltonfury42/truecase
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/06/89d0adae754d32626dcd0dcd958a1b0be295a9e084a6ecda25af6ebbcdb2/truecase-0.0.14.tar.gz
BuildArch: noarch
Requires: python3-nltk
%description
# TrueCase
 
A language independent, statistical, language modeling
based tool in Python that restores case information for text.
The model was inspired by the paper of [Lucian Vlad Lita et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf) but with some simplifications.
A model trained on NLTK English corpus comes with the package by default,
and for other languages, a script is provided to create the model. This model is
not perfect, train the system on a large and recent dataset to achieve
the best results (e.g. on a recent dump of Wikipedia).
### Prerequisites
- Python 3
The project uses NLTK. Find install instructions [here](https://www.nltk.org/install.html).
### Installing
```bash
pip3 install truecase
```
## Usage
Simple usecase:
```python
>>> import truecase
>>> truecase.get_true_case('hey, what is the weather in new york?')
'Hey, what is the weather in New York?''
```
## Training your own model
TODO. For now refer to Trainer.py
## Contributing
I see a lot of space for improvement. Feel free to fork and improve. Do sent a pull request.
## Authors
* **Dalton Fury** - *Initial work* - [daltonfury42](https://github.com/daltonfury42)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details
## Acknowledgments
* [Lucian Vlad Lita et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf)
* Borrowed a lot of code, and the idea from [truecaser](https://github.com/nreimers/truecaser/blob/master/README.md) by [nreimers](https://github.com/nreimers)
%package -n python3-truecase
Summary: A library to restore capitalization for text
Provides: python-truecase
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-truecase
# TrueCase
 
A language independent, statistical, language modeling
based tool in Python that restores case information for text.
The model was inspired by the paper of [Lucian Vlad Lita et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf) but with some simplifications.
A model trained on NLTK English corpus comes with the package by default,
and for other languages, a script is provided to create the model. This model is
not perfect, train the system on a large and recent dataset to achieve
the best results (e.g. on a recent dump of Wikipedia).
### Prerequisites
- Python 3
The project uses NLTK. Find install instructions [here](https://www.nltk.org/install.html).
### Installing
```bash
pip3 install truecase
```
## Usage
Simple usecase:
```python
>>> import truecase
>>> truecase.get_true_case('hey, what is the weather in new york?')
'Hey, what is the weather in New York?''
```
## Training your own model
TODO. For now refer to Trainer.py
## Contributing
I see a lot of space for improvement. Feel free to fork and improve. Do sent a pull request.
## Authors
* **Dalton Fury** - *Initial work* - [daltonfury42](https://github.com/daltonfury42)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details
## Acknowledgments
* [Lucian Vlad Lita et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf)
* Borrowed a lot of code, and the idea from [truecaser](https://github.com/nreimers/truecaser/blob/master/README.md) by [nreimers](https://github.com/nreimers)
%package help
Summary: Development documents and examples for truecase
Provides: python3-truecase-doc
%description help
# TrueCase
 
A language independent, statistical, language modeling
based tool in Python that restores case information for text.
The model was inspired by the paper of [Lucian Vlad Lita et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf) but with some simplifications.
A model trained on NLTK English corpus comes with the package by default,
and for other languages, a script is provided to create the model. This model is
not perfect, train the system on a large and recent dataset to achieve
the best results (e.g. on a recent dump of Wikipedia).
### Prerequisites
- Python 3
The project uses NLTK. Find install instructions [here](https://www.nltk.org/install.html).
### Installing
```bash
pip3 install truecase
```
## Usage
Simple usecase:
```python
>>> import truecase
>>> truecase.get_true_case('hey, what is the weather in new york?')
'Hey, what is the weather in New York?''
```
## Training your own model
TODO. For now refer to Trainer.py
## Contributing
I see a lot of space for improvement. Feel free to fork and improve. Do sent a pull request.
## Authors
* **Dalton Fury** - *Initial work* - [daltonfury42](https://github.com/daltonfury42)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details
## Acknowledgments
* [Lucian Vlad Lita et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf)
* Borrowed a lot of code, and the idea from [truecaser](https://github.com/nreimers/truecaser/blob/master/README.md) by [nreimers](https://github.com/nreimers)
%prep
%autosetup -n truecase-0.0.14
%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-truecase -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.14-1
- Package Spec generated
|
