Title :
Clustering: a technique for search space reduction in example-based machine translation
Author :
Cranias, Lambros ; Papageorgiou, Harris ; Piperidis, Stelios
Author_Institution :
Inst. for Language & Speech Process., Greece
Abstract :
This paper addresses an important problem in example-based machine translation (EBMT), namely how to make retrieval of the example that best matches the input more efficient. The use of clustering is proposed, to enable the application of the same similarity metric to first limit the search space and then locate the best available match in a database. Evaluation results are presented on a large number of test cases
Keywords :
database management systems; language translation; natural languages; search problems; clustering; example-based machine translation; natural language; search space reduction; similarity metric; textual database; translation example retrieval; Databases; Impedance matching; Information retrieval; Knowledge acquisition; Large-scale systems; Natural language processing; Natural languages; Probability distribution; Speech processing; Testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.399803
