NepaliKit

NepaliKit is a Python library for natural language processing tasks in the Nepali language.

Installation

pip install nepalikit

Quick Start

from nepalikit.tokenization import Tokenizer
from nepalikit.preprocessing import TextProcessor
from nepalikit.manage_stopwords import get_stopwords, remove_stopwords_from_text

# Tokenize text
tokenizer = Tokenizer()
tokens = tokenizer.tokenize("नमस्ते, के छ खबर? यो एउटा वाक्य हो।", level='word')

# Clean text
processor = TextProcessor()
clean = processor.remove_html_tags("<p>नमस्ते</p>")
clean = processor.remove_special_characters(clean)

# Remove stopwords
filtered = remove_stopwords_from_text("म घर जाँदै छु")

Features

• Tokenization — Rule-based and SentencePiece tokenizers
• Preprocessing — HTML removal, special character cleaning, whitespace normalization
• Stopword Management — 340+ curated Nepali stopwords with dynamic add/remove
• Stemming — Rule-based suffix stripping
• Normalization — Unicode NFC normalization, ZWNJ/ZWJ stripping, script detection
• POS Tagging — Dictionary-based tagger with 11 grammatical categories
• Spell Checking — Dictionary-based with Levenshtein edit distance suggestions
• Transliteration — Roman ↔ Devanagari + Preeti font conversion
• Number Extraction — Parse Devanagari digits and Nepali number words to integers
• Sentence Operations — Sentence segmentation, extraction, and analysis

Documentation

Full documentation is available at the living website:

• Webpage: prabhashj07.github.io/nepalikit
• Source: docs/

Alternatively, browse the raw documentation files:

• Installation
• Quick Start
• Usage
• API Reference
• Examples
• Changelog

License

This project is licensed under the MIT License.

Author

• Prabhash Kumar Jha
• Email: prabhashj07@gmail.com