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» On the Use of Comparable Corpora to Improve SMT performance
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ACL
2007
13 years 6 months ago
Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora
Current phrase-based SMT systems perform poorly when using small training sets. This is a consequence of unreliable translation estimates and low coverage over source and target p...
Trevor Cohn, Mirella Lapata
HPCA
2008
IEEE
14 years 5 months ago
Runahead Threads to improve SMT performance
In this paper, we propose Runahead Threads (RaT) as a valuable solution for both reducing resource contention and exploiting memory-level parallelism in Simultaneous Multithreaded...
Tanausú Ramírez, Alex Pajuelo, Olive...
HPCA
2012
IEEE
12 years 13 days ago
BulkSMT: Designing SMT processors for atomic-block execution
Multiprocessor architectures that continuously execute atomic blocks (or chunks) of instructions can improve performance and software productivity. However, all of the prior propo...
Xuehai Qian, Benjamin Sahelices, Josep Torrellas
ACL
2009
13 years 2 months ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar
EMNLP
2008
13 years 6 months ago
Language and Translation Model Adaptation using Comparable Corpora
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to genera...
Matthew G. Snover, Bonnie J. Dorr, Richard M. Schw...