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@@ -27,4 +27,20 @@ ft = fasttext.load_model('skipgram.uk.300.bin')
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  ft.get_word_vector('привіт')
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  ```
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  Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk](https://lang.org.ua) project, [Nataliia Romanyshyn](https://github.com/romanyshyn-natalia), [Ukrainian Catholic University](https://ucu.edu.ua/en/), 2022
 
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  ft.get_word_vector('привіт')
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  ```
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+ ```bibtex
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+ @inproceedings{romanyshyn-etal-2023-learning,
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+ title = "Learning Word Embeddings for {U}krainian: A Comparative Study of Fast{T}ext Hyperparameters",
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+ author = "Romanyshyn, Nataliia and
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+ Chaplynskyi, Dmytro and
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+ Zakharov, Kyrylo",
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+ booktitle = "Proceedings of the Second Ukrainian Natural Language Processing Workshop",
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+ month = may,
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+ year = "2023",
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+ address = "Dubrovnik, Croatia",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2023.unlp-1.3",
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+ pages = "20--31",
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+ }
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+ ```
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+
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  Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk](https://lang.org.ua) project, [Nataliia Romanyshyn](https://github.com/romanyshyn-natalia), [Ukrainian Catholic University](https://ucu.edu.ua/en/), 2022