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Pregled bibliografske jedinice broj: 758365

Human Evaluation of Online Machine Translation Services for English/Russian-Croatian


Seljan, Sanja; Tucaković, Marko; Dunđer, Ivan
Human Evaluation of Online Machine Translation Services for English/Russian-Croatian // Advances in Intelligent Systems and Computing - New Contributions in Information Systems and Technologies, Springer, 353 (2015), 1089-1098 doi:10.1007/978-3-319-16486-1_108 (međunarodna recenzija, članak, znanstveni)


Naslov
Human Evaluation of Online Machine Translation Services for English/Russian-Croatian

Autori
Seljan, Sanja ; Tucaković, Marko ; Dunđer, Ivan

Izvornik
Advances in Intelligent Systems and Computing - New Contributions in Information Systems and Technologies, Springer (2194-5357) 353 (2015); 1089-1098

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

Ključne riječi
Machine translation ; human evaluation ; Google Translate ; Yandex.Translate ; English ; Russian ; Croatian ; adequacy ; fluency ; error analysis ; inter-evaluator agreement

Sažetak
This paper presents results of human evaluation of machine translated texts for one non closely-related language pair, English-Croatian, and for one closely-related language pair, Russian-Croatian. 400 sentences from the domain of tourist guides were analysed, i.e. 100 sentences for each language pair and for two online machine translation services, Google Translate and Yandex.Translate. Human evaluation is made with regard to the criteria of fluency and adequacy. In order to measure internal consistency, Cronbach’s alpha is calculated. Error analysis is made for several categories: untranslated/omitted words, surplus words, morphological errors/wrong word endings, lexical errors/wrong translations, syntactic errors/wrong word order and punctuation errors. At the end of this paper, conclusions and suggestions for further research are given.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Filozofski fakultet, Zagreb

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • SCI-EXP, SSCI i/ili A&HCI


Uključenost u ostale bibliografske baze podataka:


  • ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar, Springerlink


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