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ICDAR
2007
IEEE
15 years 4 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
LATA
2010
Springer
15 years 25 days ago
Avoidable Binary Patterns in Partial Words
The problem of classifying all the avoidable binary patterns in words has been completely solved (see Chapter 3 of M. Lothaire, Algebraic Combinatorics on Words, Cambridge Universi...
Francine Blanchet-Sadri, Robert Mercas, Sean Simmo...
FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
15 years 4 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
EMNLP
2007
14 years 11 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
ACL
2010
14 years 7 months ago
Pseudo-Word for Phrase-Based Machine Translation
The pipeline of most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel corpus. But word appears to be too fine-grained ...
Xiangyu Duan, Min Zhang, Haizhou Li