Pregled bibliografske jedinice broj: 913277
Dealing with data sparseness in SMT with factored models and morphological expansion: a case study on Croatian
Dealing with data sparseness in SMT with factored models and morphological expansion: a case study on Croatian // Baltic Journal of Modern Computing, 4 (2016), 2; 354-360 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 913277 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Dealing with data sparseness in SMT with
factored models and morphological expansion: a
case study on Croatian
Autori
Sanchez-Cartagena, Victor M. ; Ljubešić, Nikola ; Klubička, Filip
Izvornik
Baltic Journal of Modern Computing (2255-8942) 4
(2016), 2;
354-360
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
data sparseness, factored translation models, morphological expansion
Sažetak
This paper describes our experience using available linguistic resources for Croatian in order to address data sparseness when building an English-to-Croatian general domain phrase- based statistical machine translation system. We report the results obtained with factored translation models and morphological expansion, highlight the impact of the algorithm used for tagging the corpora, and show that the improvement brought by these methods is compatible with the application of data selection on out-of-domain parallel corpora.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
