Abstract
This paper evaluates a machine translation (MT) system based on the interlingua approach, the Universal Network Language (UNL) system, designed for Multilanguage translation. The study addresses evaluation of English-Arabic translation and aims at comparing the MT systems based on UNL against other systems. Also, it serves to analyze the development of the system understudy by comparing output at the sentence level. The evaluation is performed on the Encyclopedia of Life Support Systems (EOLSS), a wide range corpus covering multiple linguistic and cultural backgrounds. Three automated metrics are evaluated, namely BLEU, F1 and Fmean after being adapted to the Arabic language. Results revealed that the UNL MT outperforms other systems for all metrics.
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Adly, N., Al Ansary, S. (2010). Evaluation of Arabic Machine Translation System Based on the Universal Networking Language. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_20
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DOI: https://doi.org/10.1007/978-3-642-12550-8_20
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