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» N-gram-based Machine Translation
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FSMNLP
2008
Springer
15 years 5 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
141
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ACL
2006
15 years 5 months ago
Unsupervised Analysis for Decipherment Problems
We study a number of natural language decipherment problems using unsupervised learning. These include letter substitution ciphers, character code conversion, phonetic deciphermen...
Kevin Knight, Anish Nair, Nishit Rathod, Kenji Yam...
127
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ACL
2006
15 years 5 months ago
Improved Discriminative Bilingual Word Alignment
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...
Robert C. Moore, Wen-tau Yih, Andreas Bode
EACL
2006
ACL Anthology
15 years 5 months ago
CDER: Efficient MT Evaluation Using Block Movements
Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or alm...
Gregor Leusch, Nicola Ueffing, Hermann Ney
116
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NAACL
2003
15 years 5 months ago
Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
Following the recent adoption by the machine translation community of automatic evaluation using the BLEU/NIST scoring process, we conduct an in-depth study of a similar idea for ...
Chin-Yew Lin, Eduard H. Hovy