Sciweavers

803 search results - page 42 / 161
» Cognates Can Improve Statistical Translation Models
Sort
View
EMNLP
2010
15 years 4 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
SIGIR
1998
ACM
15 years 10 months ago
Resolving Ambiguity for Cross-Language Retrieval
Abstract One of the main hurdles to improved CLIR effectiveness is resolving ambiguity associated with translation. Availability of resources is also a problem. First we present a ...
Lisa Ballesteros, W. Bruce Croft
148
Voted
ACL
2009
15 years 4 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
LREC
2010
178views Education» more  LREC 2010»
15 years 7 months ago
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Ondrej Bojar, Pavel Stranák, Daniel Zeman
NIPS
2007
15 years 7 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...