49 search results - page 1 / 10 » Consensus Training for Consensus Decoding in Machine Transla... |
EMNLP
2009
13 years 2 months ago
2009
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
ACL
2009
13 years 2 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...
ACL
2012
11 years 6 months ago
2012
In this paper, we address the issue for learning better translation consensus in machine translation (MT) research, and explore the search of translation consensus from similar, r...
NAACL
2010
13 years 2 months ago
2010
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
EMNLP
2007
13 years 5 months ago
2007
This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that t...