77 search results - page 4 / 16 » Non-linear Learning for Statistical Machine Translation |
LREC
2008
15 years 19 days ago
2008
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
HRI
2010
ACM
15 years 6 months ago
2010
ACM
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...
EMNLP
2009
14 years 9 months ago
2009
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
COLING
2010
14 years 6 months ago
2010
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) syste...
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Large number of medical images are produced daily in hospitals and medical institutions, the needs to efficiently process, index, search and retrieve these images are great. In t...