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ACL
2012
11 years 9 months ago
Deciphering Foreign Language by Combining Language Models and Context Vectors
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
Malte Nuhn, Arne Mauser, Hermann Ney
DGO
2007
152views Education» more  DGO 2007»
13 years 8 months ago
Identifying and classifying subjective claims
To understand the subjective documents, for example, public comments on the government’s proposed regulation, opinion identification and classification is required. Rather than ...
Namhee Kwon, Liang Zhou, Eduard H. Hovy, Stuart W....
EMNLP
2008
13 years 8 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
EMNLP
2008
13 years 8 months ago
Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
Parallel web pages are important source of training data for statistical machine translation. In this paper, we present a new approach to sentence alignment on parallel web pages....
Lei Shi, Ming Zhou
ACL
2008
13 years 8 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...