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Found 4 papers, 1 papers with code
Evaluation of Croatian Word Embeddings
We created a new word analogy corpus based on the original English Word2vec word analogy corpus and added some of the specific linguistic aspects from Croatian language.
Normalization of Non-Standard Words in Croatian Texts
This paper presents text normalization which is an integral part of any text-to-speech synthesis system.
Non-Standard Words as Features for Text Categorization
This paper presents categorization of Croatian texts using Non-Standard Words (NSW) as features.
Toward Selectivity Based Keyword Extraction for Croatian News
Obtained sets are evaluated on a manually annotated keywords: for the set of extracted keyword candidates average F1 score is 24, 63%, and average F2 score is 21, 19%; for the exacted words-tuples candidates average F1 score is 25, 9% and average F2 score is 24, 47%.
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