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» Structural Equations in Language Learning
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MLG
2007
Springer
14 years 1 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
ACL
2012
11 years 10 months ago
Applications of GPC Rules and Character Structures in Games for Learning Chinese Characters
We demonstrate applications of psycholinguistic and sublexical information for learning Chinese characters. The knowledge about the grapheme-phoneme conversion (GPC) rules of lang...
Wei-Jie Huang, Chia-Ru Chou, Yu-Lin Tzeng, Chia-Yi...
JUCS
2006
104views more  JUCS 2006»
13 years 7 months ago
Introducing the ITP Tool: a Tutorial
: We present a tutorial of the ITP tool, a rewriting-based theorem prover that can be used to prove inductive properties of membership equational specifications. We also introduce ...
Manuel Clavel, Miguel Palomino, Adrián Ries...
INLG
2010
Springer
13 years 5 months ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov