khmereasytools 0.3.2

A simple library for Khmer text processing, including keyword extraction, segmentation, OCR, and validation.

Khmer Easy Tools

A simple, user-friendly Python library for common Khmer Natural Language Processing (NLP) tasks. This package provides easy-to-use functions for keyword extraction, segmentation, POS tagging, OCR, and character validation.

Installation

Install the package using pip:

pip install khmereasytools

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)

Checks if a string contains Khmer characters.

import khmereasytools as ket

print(ket.is_khmer("សួស្តី"))  # True
print(ket.is_khmer("Hello")) # False

Keyword Extraction (khfilter)

Segments text and removes stop words.

import khmereasytools as ket
text = "នេះគឺជាប្រាសាទអង្គរវត្តស្ថិតនៅក្នុងខេត្តសៀមរាប"
keywords = ket.khfilter(text)
print(f"Keywords: '{{keywords}}'")

Text Segmentation (khseg)

Segments text into words using khmer-nltk.

import khmereasytools as ket
text = "នេះគឺជាប្រាសាទអង្គរវត្ត"
words = ket.khseg(text)
print(f"Segmented Words: {words}")

Syllable Segmentation (syllable_segment)

Segments text into syllables.

import khmereasytools as ket
text = "សាលារៀន"
syllables = ket.syllable_segment(text)
print(f"Syllables: {syllables}")

Part-of-Speech Tagging (pos_tag)

Tags words with their part of speech.

import khmereasytools as ket
text = "ខ្ញុំ ស្រឡាញ់ ភាសាខ្មែរ"
tags = ket.pos_tag(text)
print(f"POS Tags: {tags}")

OCR from Image (ocr_from_image)

Extracts Khmer text from an image.

import khmereasytools as ket
# Make sure you have an image file e.g., 'khmer_text.png'
# text_from_image = ket.ocr_from_image('khmer_text.png')
# print(f"Text from OCR: {{text_from_image}}")