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ACL
2009
13 years 3 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
COLING
2010
13 years 22 days ago
Urdu and Hindi: Translation and sharing of linguistic resources
Hindi and Urdu share a common phonology, morphology and grammar but are written in different scripts. In addition, the vocabularies have also diverged significantly especially in ...
Karthik Visweswariah, Vijil Chenthamarakshan, Nand...
AMTA
2004
Springer
13 years 11 months ago
A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
Abstract. Existing automated MT evaluation methods often require expert human translations. These are produced for every language pair evaluated and, due to this expense, subsequen...
Debbie Elliott, Anthony Hartley, Eric Atwell
NAACL
2010
13 years 3 months ago
A Direct Syntax-Driven Reordering Model for Phrase-Based Machine Translation
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...
Niyu Ge
ACL
2009
13 years 3 months ago
Toward Smaller, Faster, and Better Hierarchical Phrase-based SMT
We investigate the use of Fisher's exact significance test for pruning the translation table of a hierarchical phrase-based statistical machine translation system. In additio...
Mei Yang, Jing Zheng