71 search results - page 10 / 15 » Variational Decoding for Statistical Machine Translation |
ACL
2009
13 years 5 months ago
2009
Tree-based statistical machine translation models have made significant progress in recent years, especially when replacing 1-best trees with packed forests. However, as the parsi...
EMNLP
2004
13 years 8 months ago
2004
We apply statistical machine translation (SMT) tools to generate novel paraphrases of input sentences in the same language. The system is trained on large volumes of sentence pair...
ACL
2009
13 years 5 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...
EMNLP
2007
13 years 8 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 5 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...