A simple library for Khmer text processing, with optional dependencies for different features.
Project description
Khmer Easy Tools
A simple, user-friendly Python library for common Khmer Natural Language Processing (NLP) tasks. This package uses optional dependencies to provide different features.
Installation
Install the base package (which includes is_khmer and stop word utilities):
pip install khmereasytools
Installing Optional Features
You can install the features you need. This is useful if one of the dependencies has installation issues on your system.
# To install support for khmercut (for khfilter)
pip install khmereasytools[khmercut]
# To install support for khmernltk (for khseg, khpos, khsyllable)
pip install khmereasytools[khmernltk]
# To install support for OCR (for khocr)
pip install khmereasytools[ocr]
# To install everything
pip install khmereasytools[all]
For OCR functionality, you must also install Google's Tesseract OCR engine on your system.
- Tesseract Installation Guide
- Make sure to install the Khmer (
khm) language data.
How to Use
Khmer Character Validation (is_khmer)
import khmereasytools as ket
print(ket.is_khmer("សួស្តី")) # True
Keyword Extraction (khfilter)
Requires khmercut to be installed.
import khmereasytools as ket
# pip install khmereasytools[khmercut]
text = "នេះគឺជាប្រាសាទអង្គរវត្តស្ថិតនៅក្នុងខេត្តសៀមរាប"
keywords = ket.khfilter(text)
print(f"Keywords: '{{keywords}}'")
Text Segmentation (khseg)
Requires khmernltk to be installed.
import khmereasytools as ket
# pip install khmereasytools[khmernltk]
text = "នេះគឺជាប្រាសាទអង្គរវត្ត"
words = ket.khseg(text)
print(f"Segmented Words: {words}")
Syllable Segmentation (khsyllable)
Requires khmernltk to be installed.
import khmereasytools as ket
text = "សាលារៀន"
syllables = ket.khsyllable(text)
print(f"Syllables: {syllables}")
Part-of-Speech Tagging (khpos)
Requires khmernltk to be installed.
import khmereasytools as ket
text = "ខ្ញុំ ស្រឡាញ់ ភាសាខ្មែរ"
tags = ket.khpos(text)
print(f"POS Tags: {tags}")
OCR from Image (khocr)
Requires ocr dependencies to be installed.
import khmereasytools as ket
# pip install khmereasytools[ocr]
# Make sure you have an image file e.g., 'khmer_text.png'
# text_from_image = ket.khocr('khmer_text.png')
# print(f"Text from OCR: {{text_from_image}}")
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