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ICPR
2010
IEEE
13 years 9 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
ACL
1998
13 years 10 months ago
Automatic Acquisition of Language Model based on Head-Dependent Relation between Words
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
Seungmi Lee, Key-Sun Choi
ACL
2006
13 years 10 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
Yee Whye Teh
APSEC
2004
IEEE
14 years 23 days ago
The Design of Evolutionary Process Modeling Languages
To formalize a software process, its important aspects must be extracted as a model. Many processes are used repeatedly, and the ability to automate a process is also desired. One...
Darren C. Atkinson, Daniel C. Weeks, John Noll
NAACL
2007
13 years 10 months ago
Joint Morphological-Lexical Language Modeling for Machine Translation
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
Ruhi Sarikaya, Yonggang Deng