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ACL
1998
13 years 11 months ago
Learning Intonation Rules for Concept to Speech Generation
In this paper, we report on an effort to provide a general-purpose spoken language generation tool for Concept-to-Speech (CTS) applications by extending a widely used text generat...
Shimei Pan, Kathleen McKeown
ANLP
1997
137views more  ANLP 1997»
13 years 11 months ago
Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
Jan Hajic, Barbora Hladká
NIPS
2000
13 years 11 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
WSC
1998
13 years 11 months ago
Input Modeling
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
WSC
1998
13 years 11 months ago
ExpertFit: Total Support for Simulation Input Modeling
In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we expl...
Averill M. Law, Michael G. McComas