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» Dynamical models of sentence processing
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ACL
2012
11 years 10 months ago
Mixing Multiple Translation Models in Statistical Machine Translation
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
ICPR
2000
IEEE
13 years 12 months ago
Stochastic Error-Correcting Parsing for OCR Post-Processing
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Determinist...
Juan Carlos Pérez-Cortes, Juan-Carlos Ameng...
ICASSP
2008
IEEE
14 years 2 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
ENTCS
2010
133views more  ENTCS 2010»
13 years 7 months ago
Towards Measurable Types for Dynamical Process Modeling Languages
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Eric Mjolsness
EACL
2006
ACL Anthology
13 years 9 months ago
CDER: Efficient MT Evaluation Using Block Movements
Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or alm...
Gregor Leusch, Nicola Ueffing, Hermann Ney