Serbian
dict2vec
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@@ -130,8 +130,7 @@ print(d2v_vectors.most_similar("klijent", topn=5))
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  title = {Learning Word Embeddings using Lexical Resources and Corpora},
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  booktitle = {15th International Conference on Information Society and Technology, ISIST 2025, Kopaonik},
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  year = {2025},
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- address = {Kopaonik, Belgrade}
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- publisher = {SASA, Belgrade},
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  url = {https://doi.org/10.5281/zenodo.15093900}
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  }
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  ```
 
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  title = {Learning Word Embeddings using Lexical Resources and Corpora},
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  booktitle = {15th International Conference on Information Society and Technology, ISIST 2025, Kopaonik},
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  year = {2025},
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+ address = {Kopaonik, Belgrade}
 
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  url = {https://doi.org/10.5281/zenodo.15093900}
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  }
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  ```