Božo Bekavac


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Multilingual Comparative Analysis of Deep-Learning Dependency Parsing Results Using Parallel Corpora
Diego Alves | Marko Tadić | Božo Bekavac
Proceedings of the BUCC Workshop within LREC 2022

This article presents a comparative analysis of dependency parsing results for a set of 16 languages, coming from a large variety of linguistic families and genera, whose parallel corpora were used to train a deep-learning tool. Results are analyzed in comparison to an innovative way of classifying languages concerning the head directionality parameter used to perform a quantitative syntactic typological classification of languages. It has been shown that, despite using parallel corpora, there is a large discrepancy in terms of LAS results. The obtained results show that this heterogeneity is mainly due to differences in the syntactic structure of the selected languages, where Indo-European ones, especially Romance languages, have the best scores. It has been observed that the differences in the size of the representation of each language in the language model used by the deep-learning tool also play a major role in the dependency parsing efficacy. Other factors, such as the number of dependency parsing labels may also have an influence on results with more complex labeling systems such as the Polish language.


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Language Generation from DB Query
Kristina Kocijan | Božo Bekavac | Krešimir Šojat
Proceedings of the Linguistic Resources for Automatic Natural Language Generation - LiRA@NLG


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XLike Project Language Analysis Services
Xavier Carreras | Lluís Padró | Lei Zhang | Achim Rettinger | Zhixing Li | Esteban García-Cuesta | Željko Agić | Božo Bekavac | Blaz Fortuna | Tadej Štajner
Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics


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Implementation of Croatian NERC System
Božo Bekavac | Marko Tadić
Proceedings of the Workshop on Balto-Slavonic Natural Language Processing


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Making Monolingual Corpora Comparable: a Case Study of Bulgarian and Croatian
Božo Bekavac | Petya Osenova | Kiril Simov | Marko Tadić
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)