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Found 11 papers, 0 papers with code
Initial Comparison of Linguistic Networks Measures for Parallel Texts
This paper presents preliminary results of Croatian syllable networks analysis.
Comparison of the language networks from literature and blogs
The linguistic networks are constructed from texts as directed and weighted co-occurrence networks of words.
Complex Networks Measures for Differentiation between Normal and Shuffled Croatian Texts
Additionally, in the first shuffling approach we preserved the sentence structure of the text and the number of words per sentence.
Preliminary Report on the Structure of Croatian Linguistic Co-occurrence Networks
Finally, since the size of texts is reflected in the network properties, our results suggest that the corpus influence can be reduced by increasing the co-occurrence window size.
Toward Network-based Keyword Extraction from Multitopic Web Documents
In this paper we analyse the selectivity measure calculated from the complex network in the task of the automatic keyword extraction.
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%.
Non-Standard Words as Features for Text Categorization
This paper presents categorization of Croatian texts using Non-Standard Words (NSW) as features.
Network Motifs Analysis of Croatian Literature
Firstly, we show that the triad significance profile for the Croatian language is very similar with the other languages and all the networks belong to the same family of networks.
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.
Multilayer Network of Language: a Unified Framework for Structural Analysis of Linguistic Subsystems
The multilayer network of language is a unified framework for modeling linguistic subsystems and their structural properties enabling the exploration of their mutual interactions.
The Influence of Feature Representation of Text on the Performance of Document Classification
In this study, we measure the performance of the document classifiers trained using the method of random forests for features generated the three models and their variants.
