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EMNLP
2007
13 years 11 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi
EMNLP
2008
13 years 11 months ago
Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...
Bing Zhao, Yaser Al-Onaizan
ESANN
2004
13 years 11 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
EACL
2003
ACL Anthology
13 years 11 months ago
Combining Clues for Word Alignment
In this paper, a word alignment approach is presented which is based on a combination of clues. Word alignment clues indicate associations between words and phrases. They can be b...
Jörg Tiedemann
DSS
2006
116views more  DSS 2006»
13 years 10 months ago
Matching knowledge elements in concept maps using a similarity flooding algorithm
Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of con...
Byron Marshall, Hsinchun Chen, Therani Madhusudan