@article {13736,
	title = {Challenges in building an Arabic-English GHMT system with SMT components},
	journal = {Proceedings of the 11th Annual Conference of the European Association for Machine Translation (EAMT-2006)},
	year = {2006},
	month = {2006///},
	pages = {56 - 65},
	abstract = {The research context of this paper is de-veloping hybrid machine translation (MT)
systems that exploit the advantages of
linguistic rule-based and statistical MT
systems. Arabic, as a morphologically
rich language, is especially challenging
even without addressing the hybridiza-
tion question. In this paper, we describe
the challenges in building an Arabic-
English generation-heavy machine trans-
lation (GHMT) system and boosting it
with statistical machine translation (SMT)
components. We present an extensive
evaluation of multiple system variants and
report positive results on the advantages of
hybridization.
},
	author = {Habash,N. and Dorr, Bonnie J and Monz,C.}
}
