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» Unsupervised Word Alignment with Arbitrary Features
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ACL
2011
12 years 8 months ago
Unsupervised Word Alignment with Arbitrary Features
Chris Dyer, Jonathan H. Clark, Alon Lavie, Noah A....
EMNLP
2007
13 years 6 months ago
Getting the Structure Right for Word Alignment: LEAF
Word alignment is the problem of annotating parallel text with translational correspondence. Previous generative word alignment models have made structural assumptions such as the...
Alexander Fraser, Daniel Marcu
NAACL
2010
13 years 2 months ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
ACL
2006
13 years 6 months ago
Discriminative Word Alignment with Conditional Random Fields
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...
Phil Blunsom, Trevor Cohn
ACL
2010
13 years 2 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein