Paper Info
Title
A Methodology for Evaluating Arabic Machine Translation Systems
Abstract
This paper presents a methodology for evaluating Arabic Machine Translation (MT) systems. We are specifically interested in evaluating lexical coverage, grammatical coverage, semantic correctness and pronoun resolution correctness. The methodology presented is statistical and is based on earlier work on evaluating MT lexicons in which the idea of the importance of a specific word sense to a given application domain and how its presence or absence in the lexicon affects the MT system's lexical quality, which in turn will affect the overall system output quality. The same idea is used in this paper and generalized so as to apply to grammatical coverage, semantic correctness and correctness of pronoun resolution. The approach adopted in this paper has been implemented and applied to evaluating four English-Arabic commercial MT systems. The results of the evaluation of these systems are presented for the domain of the Internet and Arabization.
Year
DOI
Venue
2004
10.1007/s10590-005-2412-3
Machine Translation
Keywords
Field
DocType
machine translation,lexical semantics,coverage,evaluation,arabic
Computer science,Computational linguistics,Correctness,Arabic machine translation,Machine translation,Lexicon,Application domain,Artificial intelligence,Transfer-based machine translation,Natural language processing,Linguistics,The Internet
Journal
Volume
Issue
Citations 
18
4
2
PageRank 
References 
Authors
0.35
12
2
Name
Order
Citations
PageRank
Ahmed Guessoum1114.97
Rached Zantout2187.67