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NAACL
2004
15 years 7 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
COLING
2000
15 years 7 months ago
Word Re-ordering and DP-based Search in Statistical Machine Translation
In this paper, we describe a search procedure for statistical machine translation (MT) based on dynmnic programming (DP). Starting from a DP-based solution to the traveling salesm...
Christoph Tillmann, Hermann Ney
NAACL
1994
15 years 7 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
ICASSP
2010
IEEE
15 years 6 months ago
VTLN adaptation for statistical speech synthesis
The advent of statistical speech synthesis has enabled the unification of the basic techniques used in speech synthesis and recognition. Adaptation techniques that have been succ...
Lakshmi Saheer, Philip N. Garner, John Dines, Hui ...
MT
2007
100views more  MT 2007»
15 years 5 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar