33 search results - page 4 / 7 » Machine Translation with Lattices and Forests |
ACL
2009
14 years 7 months ago
2009
This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine transla...
74
Voted
ACL
2009
14 years 7 months ago
2009
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...
MT
2006
14 years 9 months ago
2006
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
EMNLP
2009
14 years 7 months ago
2009
We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
92
Voted
EMNLP
2008
14 years 11 months ago
2008
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...