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ACL
2012
13 years 23 hour ago
Learning Better Rule Extraction with Translation Span Alignment
This paper presents an unsupervised approach to learning translation span alignments from parallel data that improves syntactic rule extraction by deleting spurious word alignment...
Jingbo Zhu, Tong Xiao, Chunliang Zhang
76
Voted
EMNLP
2007
14 years 11 months ago
Improving Word Alignment with Bridge Languages
We describe an approach to improve Statistical Machine Translation (SMT) performance using multi-lingual, parallel, sentence-aligned corpora in several bridge languages. Our appro...
Shankar Kumar, Franz Josef Och, Wolfgang Macherey
83
Voted
COLING
2010
14 years 4 months ago
Nonparametric Word Segmentation for Machine Translation
We present an unsupervised word segmentation model for machine translation. The model uses existing monolingual segmentation techniques and models the joint distribution over sour...
ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith
85
Voted
COLING
2010
14 years 4 months ago
Improved Discriminative ITG Alignment using Hierarchical Phrase Pairs and Semi-supervised Training
While ITG has many desirable properties for word alignment, it still suffers from the limitation of one-to-one matching. While existing approaches relax this limitation using phra...
Shujie Liu, Chi-Ho Li, Ming Zhou
COLING
2010
14 years 4 months ago
Unsupervised Part of Speech Tagging Using Unambiguous Substitutes from a Statistical Language Model
We show that unsupervised part of speech tagging performance can be significantly improved using likely substitutes for target words given by a statistical language model. We choo...
Mehmet Ali Yatbaz, Deniz Yuret