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Pregled bibliografske jedinice broj: 1117718

Machine translation system for the industry domain and Croatian language


Dunđer, Ivan
Machine translation system for the industry domain and Croatian language // Journal of information and organizational sciences, 44 (2020), 1; 33-50 doi:10.31341/jios.44.1.2 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1117718 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Machine translation system for the industry domain and Croatian language

Autori
Dunđer, Ivan

Izvornik
Journal of information and organizational sciences (1846-3312) 44 (2020), 1; 33-50

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
NadSve-Sveučilište u Zagrebu-43-922-1011 - Disruptivne tehnologije u stvaranju novoga znanja: strojno učenje i podatkovna analitika s modelima primjene u specijaliziranim domenama (Seljan, Sanja, NadSve - Natječaj za dodjelu sredstava za financiranje temeljne znanstvene djelatnosti u 2019. godini dodijeljenih Filozofskom fakultetu Sveučilištu u Zagrebu) ( CroRIS)

Ustanove:
Filozofski fakultet, Zagreb

Profili:

Avatar Url Ivan Dunđer (autor)

Poveznice na cjeloviti tekst rada:

doi hrcak.srce.hr www.researchgate.net

Citiraj ovu publikaciju:

Dunđer, Ivan
Machine translation system for the industry domain and Croatian language // Journal of information and organizational sciences, 44 (2020), 1; 33-50 doi:10.31341/jios.44.1.2 (međunarodna recenzija, članak, znanstveni)
Dunđer, I. (2020) Machine translation system for the industry domain and Croatian language. Journal of information and organizational sciences, 44 (1), 33-50 doi:10.31341/jios.44.1.2.
@article{article, author = {Dun\djer, Ivan}, year = {2020}, pages = {33-50}, DOI = {10.31341/jios.44.1.2}, keywords = {statistical machine translation, domain adaptation, automatic quality metrics, human quality evaluation, error classification, Croatian language, information and communication sciences}, journal = {Journal of information and organizational sciences}, doi = {10.31341/jios.44.1.2}, volume = {44}, number = {1}, issn = {1846-3312}, title = {Machine translation system for the industry domain and Croatian language}, keyword = {statistical machine translation, domain adaptation, automatic quality metrics, human quality evaluation, error classification, Croatian language, information and communication sciences} }
@article{article, author = {Dun\djer, Ivan}, year = {2020}, pages = {33-50}, DOI = {10.31341/jios.44.1.2}, keywords = {statistical machine translation, domain adaptation, automatic quality metrics, human quality evaluation, error classification, Croatian language, information and communication sciences}, journal = {Journal of information and organizational sciences}, doi = {10.31341/jios.44.1.2}, volume = {44}, number = {1}, issn = {1846-3312}, title = {Machine translation system for the industry domain and Croatian language}, keyword = {statistical machine translation, domain adaptation, automatic quality metrics, human quality evaluation, error classification, Croatian language, information and communication sciences} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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