Pregled bibliografske jedinice broj: 758365
Human Evaluation of Online Machine Translation Services for English/Russian-Croatian
Human Evaluation of Online Machine Translation Services for English/Russian-Croatian // Advances in intelligent systems and computing, 353 (2015), 1089-1098 doi:10.1007/978-3-319-16486-1_108 (međunarodna recenzija, članak, znanstveni)
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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 (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
Citiraj ovu publikaciju:
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