Anas El Isbihani

Also published as: Anas El Isbihani


Creating a Large-Scale Arabic to French Statistical MachineTranslation System
Saša Hasan | Anas El Isbihani | Hermann Ney
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In this work, the creation of a large-scale Arabic to French statistical machine translation system is presented. We introduce all necessary steps from corpus aquisition, preprocessing the data to training and optimizing the system and eventual evaluation. Since no corpora existed previously, we collected large amounts of data from the web. Arabic word segmentation was crucial to reduce the overall number of unknown words. We describe the phrase-based SMT system used for training and generation of the translation hypotheses. Results on the second CESTA evaluation campaign are reported. The setting was inthe medical domain. The prototype reaches a favorable BLEU score of40.8%.

Morpho-syntactic Arabic Preprocessing for Arabic to English Statistical Machine Translation
Anas El Isbihani | Shahram Khadivi | Oliver Bender | Hermann Ney
Proceedings on the Workshop on Statistical Machine Translation