119 search results - page 22 / 24 » Measuring Word Alignment Quality for Statistical Machine Tra... |
EACL
2003
ACL Anthology
13 years 9 months ago
2003
ACL Anthology
Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We eva...
EMNLP
2010
13 years 5 months ago
2010
Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. A...
COLING
2008
13 years 9 months ago
2008
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
NAACL
2010
13 years 5 months ago
2010
The quality of a statistical machine translation (SMT) system is heavily dependent upon the amount of parallel sentences used in training. In recent years, there have been several...