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EMNLP
2009
13 years 5 months ago
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
Arne Mauser, Sasa Hasan, Hermann Ney
EMNLP
2009
13 years 5 months ago
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
Yuval Marton, Chris Callison-Burch, Philip Resnik
COLING
2008
13 years 9 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
LREC
2010
164views Education» more  LREC 2010»
13 years 9 months ago
Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation
One problem in statistical machine translation (SMT) is that the output often is ungrammatical. To address this issue, we have investigated the use of a grammar checker for two pu...
Sara Stymne, Lars Ahrenberg
EMNLP
2008
13 years 9 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin