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ACL
1998
13 years 6 months ago
A Stochastic Language Model using Dependency and Its Improvement by Word Clustering
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Shinsuke Mori, Makoto Nagao
ACL
2001
13 years 6 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
ICWSM
2008
13 years 6 months ago
Predicting Success and Failure in Weight Loss Blogs through Natural Language Use
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constr...
Cindy K. Chung, Clinton Jones, Alexander Liu, Jame...
ICML
2007
IEEE
14 years 5 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
NAACL
1994
13 years 6 months ago
Speech Recognition Using a Stochastic Language Model Integrating Local and Global Constraints
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
Ryosuke Isotani, Shoichi Matsunaga