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diff --git a/python-estnltk.spec b/python-estnltk.spec new file mode 100644 index 0000000..cc2c544 --- /dev/null +++ b/python-estnltk.spec @@ -0,0 +1,282 @@ +%global _empty_manifest_terminate_build 0 +Name: python-estnltk +Version: 1.7.1 +Release: 1 +Summary: Estnltk — open source tools for Estonian natural language processing +License: GPLv2 +URL: https://github.com/estnltk/estnltk +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6c/fc/4b3bd898e0d48cc8ca902ef27eb460188b0447d7f176cfddae40f5a17e46/estnltk-1.7.1.tar.gz + +Requires: python3-estnltk-core +Requires: python3-regex +Requires: python3-crfsuite +Requires: python3-cached-property +Requires: python3-bs4 +Requires: python3-html5lib +Requires: python3-lxml +Requires: python3-requests +Requires: python3-tqdm +Requires: python3-conllu +Requires: python3-pandas +Requires: python3-pyahocorasick +Requires: python3-networkx +Requires: python3-matplotlib +Requires: python3-ipython +Requires: python3-networkx +Requires: python3-matplotlib +Requires: python3-ipython +Requires: python3-networkx +Requires: python3-matplotlib +Requires: python3-ipython +Requires: python3-nltk + +%description +EstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization, +morphological analysis, named entity recognition, etc. for the Estonian language. +The project is funded by EKT ([Eesti Keeletehnoloogia Riiklik Programm](https://www.keeletehnoloogia.ee/)). +This package contains EstNLTK's basic linguistic analysis, system and database tools: +* `Text` class with the Estonian NLP pipeline; +* tokenization tools: word, sentence and paragraph tokenization; clause segmentation; +* morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser and GT converter; +* information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction; +* experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger; +* syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers; +* Estonian Wordnet and Collocation-Net; +* web taggers -- such as bert embeddings web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger; +* corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia; +* system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc; +* utils for downloading additional resources (e.g. model files required by taggers); +* Postgres database tools; +## Version 1.7 +### Installation +EstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.7 to 3.10. +You can install the latest version via PyPI: +``` +pip install estnltk==1.7.1 +``` +Alternatively, you can install EstNLTK via [Anaconda](https://www.anaconda.com/download). Installation steps with conda: +1. [create a conda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) with python 3.8, for instance: +``` +conda create -n py38 python=3.8 +``` +2. [activate the environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment), for instance: +``` +conda activate py38 +``` +3. install EstNLTK with the command: +``` +conda install -c estnltk -c conda-forge estnltk=1.7.1 +``` +_Note_: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Java http://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work. +### Using on Google Colab +You can install EstNLTK on [Google Colab](https://colab.research.google.com) environment via command: +``` +!pip install estnltk==1.7.1 +``` +### Documentation +EstNLTK's tutorials come in the form of [jupyter notebooks](http://jupyter.org). + * [Starting point of tutorials](https://github.com/estnltk/estnltk/tree/main/tutorials) +Additional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu: + * [https://github.com/d009/EstNLP](https://github.com/d009/EstNLP) (in Estonian) +Note: if you have trouble viewing jupyter notebooks in github (you get an error message _Sorry, something went wrong. Reload?_ at loading a notebook), then try to open notebooks with the help of [https://nbviewer.jupyter.org](https://nbviewer.jupyter.org) +### Source +The source of the last release is available at the [main branch](https://github.com/estnltk/estnltk/tree/main/estnltk). +Changelog is available [here](https://github.com/estnltk/estnltk/blob/main/CHANGELOG.md). +## Citation +In case you use EstNLTK in your work, please cite us as follows: + @InProceedings{laur-EtAl:2020:LREC, + author = {Laur, Sven and Orasmaa, Siim and Särg, Dage and Tammo, Paul}, + title = {EstNLTK 1.6: Remastered Estonian NLP Pipeline}, + booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, + month = {May}, + year = {2020}, + address = {Marseille, France}, + publisher = {European Language Resources Association}, + pages = {7154--7162}, + url = {https://www.aclweb.org/anthology/2020.lrec-1.884} + +%package -n python3-estnltk +Summary: Estnltk — open source tools for Estonian natural language processing +Provides: python-estnltk +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-estnltk +EstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization, +morphological analysis, named entity recognition, etc. for the Estonian language. +The project is funded by EKT ([Eesti Keeletehnoloogia Riiklik Programm](https://www.keeletehnoloogia.ee/)). +This package contains EstNLTK's basic linguistic analysis, system and database tools: +* `Text` class with the Estonian NLP pipeline; +* tokenization tools: word, sentence and paragraph tokenization; clause segmentation; +* morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser and GT converter; +* information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction; +* experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger; +* syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers; +* Estonian Wordnet and Collocation-Net; +* web taggers -- such as bert embeddings web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger; +* corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia; +* system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc; +* utils for downloading additional resources (e.g. model files required by taggers); +* Postgres database tools; +## Version 1.7 +### Installation +EstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.7 to 3.10. +You can install the latest version via PyPI: +``` +pip install estnltk==1.7.1 +``` +Alternatively, you can install EstNLTK via [Anaconda](https://www.anaconda.com/download). Installation steps with conda: +1. [create a conda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) with python 3.8, for instance: +``` +conda create -n py38 python=3.8 +``` +2. [activate the environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment), for instance: +``` +conda activate py38 +``` +3. install EstNLTK with the command: +``` +conda install -c estnltk -c conda-forge estnltk=1.7.1 +``` +_Note_: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Java http://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work. +### Using on Google Colab +You can install EstNLTK on [Google Colab](https://colab.research.google.com) environment via command: +``` +!pip install estnltk==1.7.1 +``` +### Documentation +EstNLTK's tutorials come in the form of [jupyter notebooks](http://jupyter.org). + * [Starting point of tutorials](https://github.com/estnltk/estnltk/tree/main/tutorials) +Additional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu: + * [https://github.com/d009/EstNLP](https://github.com/d009/EstNLP) (in Estonian) +Note: if you have trouble viewing jupyter notebooks in github (you get an error message _Sorry, something went wrong. Reload?_ at loading a notebook), then try to open notebooks with the help of [https://nbviewer.jupyter.org](https://nbviewer.jupyter.org) +### Source +The source of the last release is available at the [main branch](https://github.com/estnltk/estnltk/tree/main/estnltk). +Changelog is available [here](https://github.com/estnltk/estnltk/blob/main/CHANGELOG.md). +## Citation +In case you use EstNLTK in your work, please cite us as follows: + @InProceedings{laur-EtAl:2020:LREC, + author = {Laur, Sven and Orasmaa, Siim and Särg, Dage and Tammo, Paul}, + title = {EstNLTK 1.6: Remastered Estonian NLP Pipeline}, + booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, + month = {May}, + year = {2020}, + address = {Marseille, France}, + publisher = {European Language Resources Association}, + pages = {7154--7162}, + url = {https://www.aclweb.org/anthology/2020.lrec-1.884} + +%package help +Summary: Development documents and examples for estnltk +Provides: python3-estnltk-doc +%description help +EstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization, +morphological analysis, named entity recognition, etc. for the Estonian language. +The project is funded by EKT ([Eesti Keeletehnoloogia Riiklik Programm](https://www.keeletehnoloogia.ee/)). +This package contains EstNLTK's basic linguistic analysis, system and database tools: +* `Text` class with the Estonian NLP pipeline; +* tokenization tools: word, sentence and paragraph tokenization; clause segmentation; +* morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser and GT converter; +* information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction; +* experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger; +* syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers; +* Estonian Wordnet and Collocation-Net; +* web taggers -- such as bert embeddings web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger; +* corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia; +* system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc; +* utils for downloading additional resources (e.g. model files required by taggers); +* Postgres database tools; +## Version 1.7 +### Installation +EstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.7 to 3.10. +You can install the latest version via PyPI: +``` +pip install estnltk==1.7.1 +``` +Alternatively, you can install EstNLTK via [Anaconda](https://www.anaconda.com/download). Installation steps with conda: +1. [create a conda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) with python 3.8, for instance: +``` +conda create -n py38 python=3.8 +``` +2. [activate the environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment), for instance: +``` +conda activate py38 +``` +3. install EstNLTK with the command: +``` +conda install -c estnltk -c conda-forge estnltk=1.7.1 +``` +_Note_: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Java http://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work. +### Using on Google Colab +You can install EstNLTK on [Google Colab](https://colab.research.google.com) environment via command: +``` +!pip install estnltk==1.7.1 +``` +### Documentation +EstNLTK's tutorials come in the form of [jupyter notebooks](http://jupyter.org). + * [Starting point of tutorials](https://github.com/estnltk/estnltk/tree/main/tutorials) +Additional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu: + * [https://github.com/d009/EstNLP](https://github.com/d009/EstNLP) (in Estonian) +Note: if you have trouble viewing jupyter notebooks in github (you get an error message _Sorry, something went wrong. Reload?_ at loading a notebook), then try to open notebooks with the help of [https://nbviewer.jupyter.org](https://nbviewer.jupyter.org) +### Source +The source of the last release is available at the [main branch](https://github.com/estnltk/estnltk/tree/main/estnltk). +Changelog is available [here](https://github.com/estnltk/estnltk/blob/main/CHANGELOG.md). +## Citation +In case you use EstNLTK in your work, please cite us as follows: + @InProceedings{laur-EtAl:2020:LREC, + author = {Laur, Sven and Orasmaa, Siim and Särg, Dage and Tammo, Paul}, + title = {EstNLTK 1.6: Remastered Estonian NLP Pipeline}, + booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, + month = {May}, + year = {2020}, + address = {Marseille, France}, + publisher = {European Language Resources Association}, + pages = {7154--7162}, + url = {https://www.aclweb.org/anthology/2020.lrec-1.884} + +%prep +%autosetup -n estnltk-1.7.1 + +%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-estnltk -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.1-1 +- Package Spec generated |