Naslov
Statistical Machine Translation of Croatian Weather Forecasts: How Much Data Do We Need?

Autori
Ljubešić, Nikola ; Bago, Petra ; Boras, Damir

Izvornik
CIT. Journal of computing and information technology (1330-1136) 18 (2010), 4; 303-308

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

Ključne riječi
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA