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ACL
2009
15 years 4 months ago
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
ACL
2011
14 years 10 months ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li
ICCV
2011
IEEE
14 years 6 months ago
Are Spatial and Global Constraints Really Necessary for Segmentation?
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
Aurelien Lucchi, Yunpeng Li, Xavier Boix, Kevin Sm...
BIRTHDAY
2012
Springer
14 years 2 months ago
Model Transformation By-Example: A Survey of the First Wave
Abstract. Model-Driven Engineering (MDE) places models as firstclass artifacts throughout the software lifecycle. In this context, model transformations are crucial for the succes...
Gerti Kappel, Philip Langer, Werner Retschitzegger...
DAGSTUHL
2008
15 years 8 months ago
The Grand Challenges and Myths of Neural-Symbolic Computation
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Luís C. Lamb