159 search results - page 10 / 32 » Fast Decoding and Optimal Decoding for Machine Translation |
EMNLP
2009
13 years 5 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...
EMNLP
2008
13 years 8 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...
ACL
2007
13 years 8 months ago
2007
Efficient decoding has been a fundamental problem in machine translation, especially with an integrated language model which is essential for achieving good translation quality. ...
COLING
2010
13 years 2 months ago
2010
Previous methods on improving translation quality by employing multiple SMT models usually carry out as a secondpass decision procedure on hypotheses from multiple systems using e...
ACL
2007
13 years 8 months ago
2007
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decodi...