We report the results of our work on automating
the transliteration decision of named entities
for English to Arabic machine translation.
We construct a classification-based
framework to automate this decision, evaluate
our classifier both in the limited news and
the diverse Wikipedia domains, and achieve
promising accuracy. Moreover, we demonstrate
a reduction of translation error and
an improvement in the performance of an
English-to-Arabic machine translation system.
History
Publisher Statement
Published in Proceedings of NAACL-HLT 2013, pages 439–444, Atlanta, Georgia, 9–14 June 2013.