Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10368581 | Computer Speech & Language | 2015 | 45 Pages |
Abstract
Experiments conducted using five different language pairs with the free/open-source rule-based MT platform Apertium show that translation quality significantly improves when compared to the method proposed by Sánchez-MartÃnez and Forcada (2009), and is close to that obtained using handcrafted rules. For some language pairs, our approach is even able to outperform them. Moreover, the resulting number of rules is considerably smaller, which eases human revision and maintenance.
Keywords
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Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
VÃctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-MartÃnez,