51 search results - page 2 / 11 » Better Word Alignments with Supervised ITG Models |
ACL
2008
13 years 6 months ago
2008
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
EMNLP
2004
13 years 6 months ago
2004
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
ACL
2011
12 years 8 months ago
2011
We present an unsupervised model for joint phrase alignment and extraction using nonparametric Bayesian methods and inversion transduction grammars (ITGs). The key contribution is...
NAACL
2010
13 years 2 months ago
2010
Syntactic machine translation systems extract rules from bilingual, word-aligned, syntactically parsed text, but current systems for parsing and word alignment are at best cascade...
ACL
2006
13 years 6 months ago
2006
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...