Getting started¶
Install openodia, split a sentence into words, and normalize a character. The guides cover each task. The API reference lists the signatures. Every example on this page is run by the test suite.
Install¶
Python 3.11 or newer is required.
pip install openodia
To work from a clone of this repository:
git clone https://github.com/soumendrak/openodia.git
cd openodia
uv sync --all-extras
uv run python
Tokenize a sentence¶
ud.word_tokenizer splits on whitespace, on ASCII punctuation, and on ୲ and —. The Odia full stop । is not a separator. A space before । makes it its own token. With no space, । stays on the word.
>>> from openodia import ud
>>> ud.word_tokenizer("ରାମ ସୀତା ଘରକୁ ଯାଏ ।")
['ରାମ', 'ସୀତା', 'ଘରକୁ', 'ଯାଏ', '।']
>>> ud.word_tokenizer("ରାମ ସୀତା ଘରକୁ ଯାଏ।")
['ରାମ', 'ସୀତା', 'ଘରକୁ', 'ଯାଏ।']
>>> ud.word_tokenizer("ରାମ।ସୀତା")
['ରାମ।ସୀତା']
>>> ud.word_tokenizer("a୲b")
['a', 'b']
>>> ud.word_tokenizer("a—b")
['a', 'b']
Normalize text¶
The same letters can be stored as one code point or as a base letter plus a nukta. normalize returns one Unicode form. NFC is the default.
>>> from openodia import normalize
>>> normalize("ଡ" + "଼")
'ଡ଼'
>>> normalize("ଡ଼", form="NFD") == "ଡ" + "଼"
True
Next¶
- Text processing for sentences, stopwords, and language detection.
- Command line for the
openodiacommand. - Transliteration and personal identifiers.