Evaluation of arabic machine translation system based on the universal networking language

Authors:
Noha Adly;Sameh Al Ansary
Affiliations:
Bibliotheca Alexandrina, Alexandria, Egypt;Bibliotheca Alexandrina, Alexandria, Egypt
Venue:
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Year:
2009

Citing 10
Cited 0

Information Retrieval

Information Retrieval
Introduction to Algorithms

Introduction to Algorithms
Interlingua-based broad-coverage Korean-to-English translation in CCLINC

HLT '01 Proceedings of the first international conference on Human language technology research
BLEU: a method for automatic evaluation of machine translation

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Precision and recall of machine translation

NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
ORANGE: a method for evaluating automatic evaluation metrics for machine translation

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Corpus-based comprehensive and diagnostic MT evaluation: initial Arabic, Chinese, French, and Spanish results

HLT '02 Proceedings of the second international conference on Human Language Technology Research
Meteor: an automatic metric for MT evaluation with high levels of correlation with human judgments

StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
METEOR, M-BLEU and M-TER: evaluation metrics for high-correlation with human rankings of machine translation output

StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
The NESPOLE! System for multilingual speech communication over the Internet

IEEE Transactions on Audio, Speech, and Language Processing

Quantified Score

Hi-index	0.00

Visualization

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.