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Pregled bibliografske jedinice broj: 507907

Časopis

Autori: Ljubešić, Nikola; Bago, Petra; Boras, Damir
Naslov: Statistical Machine Translation of Croatian Weather Forecasts: How Much Data Do We Need?
( Statistical Machine Translation of Croatian Weather Forecasts: How Much Data Do We Need? )
Izvornik: CIT. Journal of computing and information technology (1330-1136) 18 (2010), 4; 303-308
Vrsta rada: članak
Ključne riječi: statistical machine translation; weather forecast; automatic evaluation; human evaluation
( statistical machine translation; weather forecast; automatic evaluation; human evaluation )
Sažetak:
This research is the first step towards developing a system for translating Croatian weather forecasts into multiple languages. This step deals with the Croatian-English language pair. The parallel corpus consists of a one-year sample of the weather forecasts for the Adriatic, con- sisting of 7, 893 sentence pairs. Evaluation is performed by the automatic evaluation measures BLUE, NIST and METEOR, as well as by manually evaluating a sample of 200 translations. We have shown that with a small- sized training set and the state-of-the art Moses system, decod- ing can be done with 96% accuracy concerning adequacy and fluency. Additional improvement is expected by increasing the training set size. Finally, the correlation of the recorded evaluation measures is explored.
Projekt / tema: 130-1301679-1380
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Informacijske i komunikacijske znanosti
Puni text rada: 507907.ljubesic10a-statistical.pdf (tekst priložen 28. Ožu. 2011. u 17:09 sati)
Broj citata:
Altmetric:
DOI: 10.2498/cit.1001914
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Statistical Machine Translation of Croatian Weather Forecasts: How Much Data Do We Need?
Upisao u CROSBI: nljubesic@ffzg.hr (nljubesic@ffzg.hr), 28. Ožu. 2011. u 17:09 sati



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