TozaText 0.1.7

TozaText is a cleaning library for preprocessing raw Uzbek and multilingual text data.

🧹 TozaText

TozaText is a lightweight and extensible text-preprocessing pipeline built for cleaning noisy, transcribed, or user-generated text data.
It’s designed around a modifier-based architecture — each cleaning rule is a DocumentModifier that can be combined into a customizable Pipeline.

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Features

• Modular design – add or remove modifiers easily (e.g., repetition removal, transliteration)
• Smart repetition cleaner – removes consecutive repeated words, even with punctuation or ellipses

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Available Modifiers

TozaText currently includes the following modifiers out of the box:

Modifier	Description	Example Input	Example Output
WordRepetitionFilter	Removes consecutive repeated words, even when separated by punctuation or ellipses.	bu. bu. bu. shu shu qila qila	bu. shu qila
ParagraphRepetitionFilter	Removes entire paragraphs if too many repeated paragraphs or characters are detected (useful for STT data with repeated intros).	"Salom!\n\nSalom!\n\nSalom!"	""
TransliteratorModifier	Converts Uzbek text between Cyrillic and Latin alphabets using UzTransliterator.	"Салом дунё"	"Salom dunyo"
UrlEmojiRemover	Remove or normalize URLs and links from text.	"Bu sayt: https://example.com 😎"	"Bu sayt"

All modifiers inherit from:

class DocumentModifier:
    def modify_document(self, text: str, *args, **kwargs) -> str:
        ...

Installation

git clone https://gitlab.adliya.uz/shohrux1sakov/tozatext.git
cd TozaText
pip install -e .

Code Example

from datasets import load_dataset
from TozaText import Pipeline, WordRepetitionFilter, ParagraphRepetitionFilter

data = load_dataset("aktrmai/youtube_transcribe_data", split="train")

pipeline = Pipeline([
    WordRepetitionFilter(),
    ParagraphRepetitionFilter(),
])

cleaned = pipeline.process_hf_dataset(data, column="text")