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» Translating Model Simulators to Analysis Models
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ACL
2007
13 years 10 months ago
Boosting Statistical Machine Translation by Lemmatization and Linear Interpolation
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
Ruiqiang Zhang, Eiichiro Sumita
JCAL
2011
76views more  JCAL 2011»
13 years 3 months ago
Mentor modeling: the internalization of modeled professional thinking in an epistemic game
: Players of epistemic games--computer games that simulate professional practica— have been shown to develop epistemic frames: a profession’s particular way of seeing and solvi...
Padraig Nash, David Williamson Shaffer
IOR
2008
103views more  IOR 2008»
13 years 8 months ago
Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation
We consider the risk of a portfolio comprised of loans, bonds, and financial instruments that are subject to possible default. In particular, we are interested in performance meas...
Achal Bassamboo, Sandeep Juneja, Assaf J. Zeevi
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
14 years 2 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
ACL
2011
13 years 12 days ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....