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Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015

arXiv · · Notable

NLP Arabic AI Research Product

Summary

This paper describes the QCRI-Columbia-NYUAD group's Egyptian Arabic-to-English statistical machine translation system submitted to the NIST OpenMT'2015 competition. The system used tools like 3arrib and MADAMIRA for processing and standardizing informal dialectal Arabic. The system was trained using phrase-based SMT with features such as operation sequence model, class-based language model and neural network joint model. Why it matters: The work demonstrates advances in machine translation for dialectal Arabic, a challenging but important area for regional communication and NLP research.

Keywords

machine translation · Arabic dialect · SMT · MADAMIRA · OpenMT

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