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» Aligning ASL for Statistical Translation Using a Discriminat...
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ACL
2007
13 years 9 months ago
Boosting Statistical Machine Translation by Lemmatization and Linear Interpolation
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
Ruiqiang Zhang, Eiichiro Sumita
COLING
2000
13 years 9 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
COLING
2000
13 years 9 months ago
Structural Feature Selection For English-Korean Statistical Machine Translation
When aligning texts in very different languages such as Korean and English, structural features beyond word or phrase give useful intbrmation. In this paper, we present a method f...
Seonho Kim, Juntae Yoon, Mansuk Song
IAJIT
2011
13 years 2 months ago
Improving the accuracy of English-Arabic statistical sentence alignment
: Multilingual natural language processing systems are increasingly relying on parallel corpus to ameliorate their output. Parallel corpora constitute the basic block for training ...
Mohammad Salameh, Rached Zantout, Nashat Mansour
EMNLP
2007
13 years 9 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