Paper: Study Of Practical Effectiveness For Machine Translation Using Recursive Chain-Link-Type Learning

ACL ID C02-1158
Title Study Of Practical Effectiveness For Machine Translation Using Recursive Chain-Link-Type Learning
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

A number of machine translation systemsbased on thelearningalgorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text cor- pora. This means that it is difficult for the systems to acquire the translation rules from sparse data. As a result, these methods require large amounts of training data in order to ac- quire high-quality translation rules. To over- comethis problem, we propose a method ofma- chine translation using a Recursive Chain-link- type Learning. In our new method, the system can acquire many new high-quality translation rules from sparse translation examples based on already acquired translation rules. Therefore, acquisition of new translation rules results in the generation of more new translation rules. Such aproces...