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» Machine Translation System Combination by Confusion Forest
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NAACL
2010
13 years 6 months ago
Statistical Machine Translation of Texts with Misspelled Words
This paper investigates the impact of misspelled words in statistical machine translation and proposes an extension of the translation engine for handling misspellings. The enhanc...
Nicola Bertoldi, Mauro Cettolo, Marcello Federico
EACL
2009
ACL Anthology
14 years 9 months ago
N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
José A. R. Fonollosa, Maxim Khalilov
MT
2006
106views more  MT 2006»
13 years 8 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu
COLING
2010
13 years 3 months ago
Machine Translation with Lattices and Forests
Traditional 1-best translation pipelines suffer a major drawback: the errors of 1best outputs, inevitably introduced by each module, will propagate and accumulate along the pipeli...
Haitao Mi, Liang Huang, Qun Liu
EMNLP
2008
13 years 10 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney