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GRAMMARS
2002
119views more  GRAMMARS 2002»
15 years 2 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
JMLR
2011
187views more  JMLR 2011»
14 years 9 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
90
Voted
TREC
2000
15 years 3 months ago
TREC-9 CLIR Experiments at MSRCN
In TREC-9, we participated in the English-Chinese Cross-Language Information Retrieval (CLIR) track. Our work involved two aspects: finding good methods for Chinese IR, and findin...
Jianfeng Gao, Jian-Yun Nie, Jian Zhang, Endong Xun...
UM
2005
Springer
15 years 8 months ago
Task-Oriented Web User Modeling for Recommendation
Abstract. We propose an approach for modeling the navigational behavior of Web users based on task-level patterns. The discovered “tasks” are characterized probabilistically as...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
121
Voted
CSDA
2010
118views more  CSDA 2010»
15 years 2 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola