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EMNLP
2008
13 years 9 months ago
A Generative Model for Parsing Natural Language to Meaning Representations
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo...
NAACL
2007
13 years 9 months ago
A Random Text Model for the Generation of Statistical Language Invariants
A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...
Chris Biemann
PLDI
1997
ACM
13 years 11 months ago
Generational Garbage Collection and the Radioactive Decay Model
If a fixed exponentially decreasing probability distribution function is used to model every object’s lifetime, then the age of an object gives no information about its future ...
William D. Clinger, Lars Thomas Hansen
BROADNETS
2007
IEEE
14 years 1 months ago
Modeling and generating TCP application workloads
Abstract — In order to perform valid experiments, traffic generators used in network simulators and testbeds require up to date models of traffic as it exists on real network lin...
Félix Hernández-Campos, Kevin Jeffay...
ICASSP
2008
IEEE
14 years 2 months ago
Efficient language model look-ahead probabilities generation using lower order LM look-ahead information
In this paper, an efficient method for language model lookahead probability generation is presented. Traditional methods generate language model look-ahead (LMLA) probabilities fo...
Langzhou Chen, K. K. Chin