2006 Presentations (Communicative Events)
Challenges in Building an Arabic-English GHMT System with SMT Components
The research context of this paper is developing 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 hybridization question. In this paper, we describe the challenges in building an Arabic- English generation-heavy machine translation (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.
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Files
- habash_al_06a.pdf application/pdf 115 KB Download File
More About This Work
- Academic Units
- Computer Science
- Publisher
- Proceedings of the 7th Conference of the Association for Machine Translation in the Americas
- Published Here
- July 5, 2013