9 search results - page 1 / 2 » A Comparative Study of Hypothesis Alignment and its Improvem... |
ACL
2009
13 years 2 months ago
2009
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
ACL
2007
13 years 6 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...
INTERSPEECH
2010
12 years 11 months ago
2010
Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuri...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
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...