26 search results - page 3 / 6 » Fast and optimal decoding for machine translation |
ACL
2007
13 years 7 months ago
2007
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
EMNLP
2007
13 years 7 months ago
2007
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
ACL
2010
13 years 3 months ago
2010
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
ACL
2009
13 years 3 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...
ACL
2008
13 years 7 months ago
2008
We take a multi-pass approach to machine translation decoding when using synchronous context-free grammars as the translation model and n-gram language models: the first pass uses...