1149 search results - page 1 / 230 » Learning to Align: A Statistical Approach |
IDA
2007
Springer
13 years 10 months ago
2007
Springer
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
ECCV
2004
Springer
13 years 9 months ago
2004
Springer
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
ACL
2006
13 years 5 months ago
2006
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
LREC
2008
13 years 5 months ago
2008
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
NAACL
2007
13 years 5 months ago
2007
We present an approach to using multiple preprocessing schemes to improve statistical word alignments. We show a relative reduction of alignment error rate of about 38%.