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https://doi.org/10.31341/jios.44.1.2

Machine Translation System for the Industry Domain and Croatian Language

Ivan Dunđer ; Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia

Puni tekst: engleski, pdf (819 KB) str. 33-50 preuzimanja: 24* citiraj
APA 6th Edition
Dunđer, I. (2020). Machine Translation System for the Industry Domain and Croatian Language. Journal of Information and Organizational Sciences, 44 (1), 33-50. https://doi.org/10.31341/jios.44.1.2
MLA 8th Edition
Dunđer, Ivan. "Machine Translation System for the Industry Domain and Croatian Language." Journal of Information and Organizational Sciences, vol. 44, br. 1, 2020, str. 33-50. https://doi.org/10.31341/jios.44.1.2. Citirano 07.08.2020.
Chicago 17th Edition
Dunđer, Ivan. "Machine Translation System for the Industry Domain and Croatian Language." Journal of Information and Organizational Sciences 44, br. 1 (2020): 33-50. https://doi.org/10.31341/jios.44.1.2
Harvard
Dunđer, I. (2020). 'Machine Translation System for the Industry Domain and Croatian Language', Journal of Information and Organizational Sciences, 44(1), str. 33-50. https://doi.org/10.31341/jios.44.1.2
Vancouver
Dunđer I. Machine Translation System for the Industry Domain and Croatian Language. Journal of Information and Organizational Sciences [Internet]. 2020 [pristupljeno 07.08.2020.];44(1):33-50. https://doi.org/10.31341/jios.44.1.2
IEEE
I. Dunđer, "Machine Translation System for the Industry Domain and Croatian Language", Journal of Information and Organizational Sciences, vol.44, br. 1, str. 33-50, 2020. [Online]. https://doi.org/10.31341/jios.44.1.2

Sažetak
Machine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different languages. As the Croatian language can be considered low-resourced in terms of available services and technology, development of new domain-specific machine translation systems is important, especially due to raised interest and needs of industry, academia and everyday users. Machine translation is not perfect, but it is crucial to assure acceptable quality, which is purpose-dependent. In this research, different statistical machine translation systems were built – but one system utilized domain adaptation in particular, with the intention of boosting the output of machine translation. Afterwards, extensive evaluation has been performed – in form of applying several automatic quality metrics and human evaluation with focus on various aspects. Evaluation is done in order to assess the quality of specific machine-translated text.

Ključne riječi
statistical machine translation; domain adaptation; automatic quality metrics; human quality evaluation; error classification; Croatian language; information and communication sciences

Hrčak ID: 239780

URI
https://hrcak.srce.hr/239780

Posjeta: 44 *