anltk


Nameanltk JSON
Version 1.0.4 PyPI version JSON
download
home_pagehttps://github.com/Abdullah-AlAttar/anltk
SummaryArabic language processing toolkit
upload_time2023-05-04 09:12:39
maintainer
docs_urlNone
authorAbdullah Alattar
requires_python>=3
license
keywords nlp arabic python arabic c++
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ![example workflow](https://github.com/Abdullah-AlAttar/anltk/actions/workflows/c-cpp.yml/badge.svg)
![example workflow](https://github.com/Abdullah-AlAttar/anltk/actions/workflows/wheels.yml/badge.svg)
[![PyPI version](https://badge.fury.io/py/anltk.svg)](https://badge.fury.io/py/anltk)
[![License](https://img.shields.io/badge/License-Boost_1.0-lightblue.svg)](https://www.boost.org/LICENSE_1_0.txt)
[![Downloads](https://static.pepy.tech/personalized-badge/anltk?period=total&units=international_system&left_color=blue&right_color=orange&left_text=Downloads)](https://pepy.tech/project/anltk)
# Arabic Natural Language Toolkit (ANLTK)


ANLTK is a set of Arabic natural language processing tools. developed with focus on simplicity and performance.

## ANLTK is a C++ library, with python bindings.

## Installation

for python :
```
pip install anltk
```
## Building
Note: Currently only tested on Linux, prebuilt python wheels are available for Linux, Windows, Macos on [pypi](https://pypi.org/project/anltk/)
### Dependencies: 
* [utfcpp](https://github.com/nemtrif/utfcpp.git), automatically downloaded.
* [utf8proc](https://github.com/JuliaStrings/utf8proc), automatically downlaoded.
* C++ Compiler that supports c++17.
* Python3, [meson](https://mesonbuild.com/), [ninja](https://ninja-build.org/)
```bash
pip install meson
pip install ninja
```

```bash
git clone https://github.com/Abdullah-AlAttar/anltk.git \
    && cd anltk/ \
    && meson build --buildtype=release -Dbuild_tests=false \
    && cd build \
    && ninja \
    && cd ../ \
    && pip install -e .
```

## Usage Examples:

### C++ API :
```c++
#include "anltk/anltk.hpp"
#include <iostream>
#include <string>

int main()
{

    std::string ar_text = "أبجد هوز حطي كلمن سعفص قرشت ثخذ ضظغ";

    std::cout << anltk::transliterate(ar_text, anltk::CharMapping::AR2BW) << '\n';
    // >bjd hwz HTy klmn sEfS qr$t vx* DZg

    std::string text = "فَرَاشَةٌ مُلَوَّنَةٌ تَطِيْرُ في البُسْتَانِ، حُلْوَةٌ مُهَنْدَمَةٌ تُدْهِشُ الإِنْسَانَ.";

    std::cout << anltk::remove_tashkeel(text) << '\n';
    // فراشة ملونة تطير في البستان، حلوة مهندمة تدهش الإنسان.

    // Third paramters is a stop_list, charactres in this list won't be removed
    std::cout << anltk::remove_non_alpha(text, " ") << '\n';
    // فراشة ملونة تطير في البستان حلوة مهندمة تدهش الإنسان

    anltk::TafqitOptions opts;
    std::cout<< anltk::tafqit(15000120, opts) <<'\n';
    // خمسة عشر مليونًا ومائة وعشرون
}

```

### Python API

```python
import anltk


ar = "أبجد هوز حطي كلمن سعفص قرشت ثخذ ضظغ"
bw = anltk.transliterate(ar, anltk.AR2BW)
print(bw)
# >bjd hwz HTy klmn sEfS qr$t vx* DZg

print(anltk.remove_tashkeel("فَرَاشَةٌ مُلَوَّنَةٌ تَطِيْرُ في البُسْتَانِ، حُلْوَةٌ مُهَنْدَمَةٌ تُدْهِشُ الإِنْسَانَ."))

# فراشة ملونة تطير في البستان، حلوة مهندمة تدهش الإنسان.

print(anltk.tafqit(15000120))
# خمسة عشر مليونًا ومائة وعشرون
```

**For list of features see [Features.md](Features.md)**


## Benchmarks

Processing a file containing 500000 Line, 6787731 Word, 112704541 Character. the task is to remove diacritics / transliterate to buckwalter



### **Buckwatler transliteration**

| Method           | Time          |   |   |   
|------------------|---------------|---|---|
| anltk python-api | 1.379 seconds |   |   |   
| python [camel_tools](https://github.com/CAMeL-Lab/camel_tools)  | 11.46 seconds |   |   |   
### **Remove Diacritics**

| Method           | Time          |   |   |   
|------------------|---------------|---|---|
| anltk python-api | 0.989 seconds |   |   |   
| python [camel_tools](https://github.com/CAMeL-Lab/camel_tools)   | 4.892 seconds |   |   |   

            

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    "description": "![example workflow](https://github.com/Abdullah-AlAttar/anltk/actions/workflows/c-cpp.yml/badge.svg)\n![example workflow](https://github.com/Abdullah-AlAttar/anltk/actions/workflows/wheels.yml/badge.svg)\n[![PyPI version](https://badge.fury.io/py/anltk.svg)](https://badge.fury.io/py/anltk)\n[![License](https://img.shields.io/badge/License-Boost_1.0-lightblue.svg)](https://www.boost.org/LICENSE_1_0.txt)\n[![Downloads](https://static.pepy.tech/personalized-badge/anltk?period=total&units=international_system&left_color=blue&right_color=orange&left_text=Downloads)](https://pepy.tech/project/anltk)\n# Arabic Natural Language Toolkit (ANLTK)\n\n\nANLTK is a set of Arabic natural language processing tools. developed with focus on simplicity and performance.\n\n## ANLTK is a C++ library, with python bindings.\n\n## Installation\n\nfor python :\n```\npip install anltk\n```\n## Building\nNote: Currently only tested on Linux, prebuilt python wheels are available for Linux, Windows, Macos on [pypi](https://pypi.org/project/anltk/)\n### Dependencies: \n* [utfcpp](https://github.com/nemtrif/utfcpp.git), automatically downloaded.\n* [utf8proc](https://github.com/JuliaStrings/utf8proc), automatically downlaoded.\n* C++ Compiler that supports c++17.\n* Python3, [meson](https://mesonbuild.com/), [ninja](https://ninja-build.org/)\n```bash\npip install meson\npip install ninja\n```\n\n```bash\ngit clone https://github.com/Abdullah-AlAttar/anltk.git \\\n    && cd anltk/ \\\n    && meson build --buildtype=release -Dbuild_tests=false \\\n    && cd build \\\n    && ninja \\\n    && cd ../ \\\n    && pip install -e .\n```\n\n## Usage Examples:\n\n### C++ API :\n```c++\n#include \"anltk/anltk.hpp\"\n#include <iostream>\n#include <string>\n\nint main()\n{\n\n    std::string ar_text = \"\u0623\u0628\u062c\u062f \u0647\u0648\u0632 \u062d\u0637\u064a \u0643\u0644\u0645\u0646 \u0633\u0639\u0641\u0635 \u0642\u0631\u0634\u062a \u062b\u062e\u0630 \u0636\u0638\u063a\";\n\n    std::cout << anltk::transliterate(ar_text, anltk::CharMapping::AR2BW) << '\\n';\n    // >bjd hwz HTy klmn sEfS qr$t vx* DZg\n\n    std::string text = \"\u0641\u064e\u0631\u064e\u0627\u0634\u064e\u0629\u064c \u0645\u064f\u0644\u064e\u0648\u0651\u064e\u0646\u064e\u0629\u064c \u062a\u064e\u0637\u0650\u064a\u0652\u0631\u064f \u0641\u064a \u0627\u0644\u0628\u064f\u0633\u0652\u062a\u064e\u0627\u0646\u0650\u060c \u062d\u064f\u0644\u0652\u0648\u064e\u0629\u064c \u0645\u064f\u0647\u064e\u0646\u0652\u062f\u064e\u0645\u064e\u0629\u064c \u062a\u064f\u062f\u0652\u0647\u0650\u0634\u064f \u0627\u0644\u0625\u0650\u0646\u0652\u0633\u064e\u0627\u0646\u064e.\";\n\n    std::cout << anltk::remove_tashkeel(text) << '\\n';\n    // \u0641\u0631\u0627\u0634\u0629 \u0645\u0644\u0648\u0646\u0629 \u062a\u0637\u064a\u0631 \u0641\u064a \u0627\u0644\u0628\u0633\u062a\u0627\u0646\u060c \u062d\u0644\u0648\u0629 \u0645\u0647\u0646\u062f\u0645\u0629 \u062a\u062f\u0647\u0634 \u0627\u0644\u0625\u0646\u0633\u0627\u0646.\n\n    // Third paramters is a stop_list, charactres in this list won't be removed\n    std::cout << anltk::remove_non_alpha(text, \" \") << '\\n';\n    // \u0641\u0631\u0627\u0634\u0629 \u0645\u0644\u0648\u0646\u0629 \u062a\u0637\u064a\u0631 \u0641\u064a \u0627\u0644\u0628\u0633\u062a\u0627\u0646 \u062d\u0644\u0648\u0629 \u0645\u0647\u0646\u062f\u0645\u0629 \u062a\u062f\u0647\u0634 \u0627\u0644\u0625\u0646\u0633\u0627\u0646\n\n    anltk::TafqitOptions opts;\n    std::cout<< anltk::tafqit(15000120, opts) <<'\\n';\n    // \u062e\u0645\u0633\u0629 \u0639\u0634\u0631 \u0645\u0644\u064a\u0648\u0646\u064b\u0627 \u0648\u0645\u0627\u0626\u0629 \u0648\u0639\u0634\u0631\u0648\u0646\n}\n\n```\n\n### Python API\n\n```python\nimport anltk\n\n\nar = \"\u0623\u0628\u062c\u062f \u0647\u0648\u0632 \u062d\u0637\u064a \u0643\u0644\u0645\u0646 \u0633\u0639\u0641\u0635 \u0642\u0631\u0634\u062a \u062b\u062e\u0630 \u0636\u0638\u063a\"\nbw = anltk.transliterate(ar, anltk.AR2BW)\nprint(bw)\n# >bjd hwz HTy klmn sEfS qr$t vx* DZg\n\nprint(anltk.remove_tashkeel(\"\u0641\u064e\u0631\u064e\u0627\u0634\u064e\u0629\u064c \u0645\u064f\u0644\u064e\u0648\u0651\u064e\u0646\u064e\u0629\u064c \u062a\u064e\u0637\u0650\u064a\u0652\u0631\u064f \u0641\u064a \u0627\u0644\u0628\u064f\u0633\u0652\u062a\u064e\u0627\u0646\u0650\u060c \u062d\u064f\u0644\u0652\u0648\u064e\u0629\u064c \u0645\u064f\u0647\u064e\u0646\u0652\u062f\u064e\u0645\u064e\u0629\u064c \u062a\u064f\u062f\u0652\u0647\u0650\u0634\u064f \u0627\u0644\u0625\u0650\u0646\u0652\u0633\u064e\u0627\u0646\u064e.\"))\n\n# \u0641\u0631\u0627\u0634\u0629 \u0645\u0644\u0648\u0646\u0629 \u062a\u0637\u064a\u0631 \u0641\u064a \u0627\u0644\u0628\u0633\u062a\u0627\u0646\u060c \u062d\u0644\u0648\u0629 \u0645\u0647\u0646\u062f\u0645\u0629 \u062a\u062f\u0647\u0634 \u0627\u0644\u0625\u0646\u0633\u0627\u0646.\n\nprint(anltk.tafqit(15000120))\n# \u062e\u0645\u0633\u0629 \u0639\u0634\u0631 \u0645\u0644\u064a\u0648\u0646\u064b\u0627 \u0648\u0645\u0627\u0626\u0629 \u0648\u0639\u0634\u0631\u0648\u0646\n```\n\n**For list of features see [Features.md](Features.md)**\n\n\n## Benchmarks\n\nProcessing a file containing 500000 Line, 6787731 Word, 112704541 Character. the task is to remove diacritics / transliterate to buckwalter\n\n\n\n### **Buckwatler transliteration**\n\n| Method           | Time          |   |   |   \n|------------------|---------------|---|---|\n| anltk python-api | 1.379 seconds |   |   |   \n| python [camel_tools](https://github.com/CAMeL-Lab/camel_tools)  | 11.46 seconds |   |   |   \n### **Remove Diacritics**\n\n| Method           | Time          |   |   |   \n|------------------|---------------|---|---|\n| anltk python-api | 0.989 seconds |   |   |   \n| python [camel_tools](https://github.com/CAMeL-Lab/camel_tools)   | 4.892 seconds |   |   |   \n",
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