@InProceedings{ahmadnia-serrano-haffari:2017:RANLP,
  author    = {Ahmadnia, Benyamin  and  Serrano, Javier  and  Haffari, Gholamreza},
  title     = {Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {24--30},
  abstract  = {This paper is an attempt to exclusively focus on investigating the pivot
	language technique in which a bridging language is utilized to increase the
	quality of the Persian-Spanish low-resource Statistical Machine Translation
	(SMT). In this case, English is used as the bridging language, and the
	Persian-English SMT is combined with the English-Spanish one, where the
	relatively large corpora of each may be used in support of the Persian-Spanish
	pairing. Our results indicate that the pivot language technique outperforms the
	direct SMT processes currently in use between Persian and Spanish. Furthermore,
	we investigate the sentence translation pivot strategy and the phrase
	translation in turn, and demonstrate that, in the context of the
	Persian-Spanish SMT system, the phrase-level pivoting outperforms the
	sentence-level pivoting. Finally we suggest a method called combination model
	in which the standard direct model and the best triangulation pivoting model
	are blended in order to reach a high-quality translation.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_004}
}