The tool based on LSTM predicts stress position in each word in russian text depending on the word context. For more details about the tool see «Automated Word Stress Detection in Russian», EMNLP-2017, Copenhagen, Denmark.
Installation
Simple installation with pip
pip install russtress
Usage example
To put stress marks to your text
>>> from russtress import Accent >>> accent = Accent() >>> text = 'Проставь, пожалуйста, ударения' >>> accented_text = accent.put_stress(text) >>> accented_text "Проста'вь, пожа'луйста, ударе'ния"
Datasets
The repo contains samples from UD treebanks annotated with word stress for the Russian, Ukranian and Belorusian languages. For more details about the tool see VarDial paper (coming soon).
1 maintainer
Release files for russtress 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| russtress-0.1.4.tar.gz | 432.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| russtress-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 864.9 kB
Release files / russtress-0.1.4.tar.gz
| Download URL | russtress-0.1.4.tar.gz |
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| Size | 432.3 kB |
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Release files / russtress-0.1.4-py3-none-any.whl
| Download URL | russtress-0.1.4-py3-none-any.whl |
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| Size | 432.6 kB |
| Tags | Python 3 |
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