295 search results - page 3 / 59 » Combining Outputs from Multiple Machine Translation Systems |
NAACL
2010
13 years 3 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...
ACL
2009
13 years 3 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...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Given a number of machine translations of a source segment, the goal of system combination is to produce a new translation that has better quality than all of them. This paper des...
ACL
2012
11 years 7 months ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
COLING
2010
13 years 8 days ago
2010
In this paper, we propose a novel framework to enrich Translation Memory (TM) systems with Statistical Machine Translation (SMT) outputs using ranking. In order to offer the human...