Sciweavers

NAACL
2007
13 years 6 months ago
Are Very Large N-Best Lists Useful for SMT?
This paper describes an efficient method to extract large n-best lists from a word graph produced by a statistical machine translation system. The extraction is based on the k sh...
Sasa Hasan, Richard Zens, Hermann Ney
NAACL
2007
13 years 6 months ago
Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
In the framework of the Tc-Star project, we analyze and propose a combination of two Statistical Machine Translation systems: a phrase-based and an N-gram-based one. The exhaustiv...
Marta R. Costa-Jussà, Josep Maria Crego, Da...
NAACL
2007
13 years 6 months ago
Translation Model Pruning via Usage Statistics for Statistical Machine Translation
We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system ...
Matthias Eck, Stephan Vogel, Alex Waibel
NAACL
2007
13 years 6 months ago
Joint Morphological-Lexical Language Modeling for Machine Translation
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
Ruhi Sarikaya, Yonggang Deng
LREC
2008
155views Education» more  LREC 2008»
13 years 6 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
EMNLP
2008
13 years 6 months ago
Triplet Lexicon Models for Statistical Machine Translation
This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go be...
Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jes&ua...
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...
EMNLP
2008
13 years 6 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
LREC
2010
119views Education» more  LREC 2010»
13 years 6 months ago
Towards Improving English-Latvian Translation: A System Comparison and a New Rescoring Feature
This paper presents a comparative study of two alternative approaches to statistical machine translation (SMT) and their application to a task of English-to-Latvian translation. F...
Maxim Khalilov, José A. R. Fonollosa, Ingun...
EMNLP
2007
13 years 6 months ago
Online Large-Margin Training for Statistical Machine Translation
We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of p...
Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki ...