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» Cognates Can Improve Statistical Translation Models
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EMNLP
2007
15 years 1 months ago
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
ACL
2009
14 years 9 months ago
Joint Decoding with Multiple Translation Models
Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a met...
Yang Liu, Haitao Mi, Yang Feng, Qun Liu
ACL
2008
15 years 1 months ago
Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
Yuval Marton, Philip Resnik
ACL
2008
15 years 1 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...
WSC
2001
15 years 1 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor