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COLT
1992
Springer
14 years 26 days ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
ALT
2008
Springer
14 years 5 months ago
Optimal Language Learning
Gold’s original paper on inductive inference introduced a notion of an optimal learner. Intuitively, a learner identifies a class of objects optimally iff there is no other lea...
John Case, Samuel E. Moelius
IPM
2006
171views more  IPM 2006»
13 years 8 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
ECAL
2003
Springer
14 years 2 months ago
The Learning and Emergence of Mildly Context Sensitive Languages
This paper describes a framework for studies of the adaptive acquisition and evolution of language, with the following components: language learning begins by associating words wit...
Edward P. Stabler, Travis C. Collier, Gregory M. K...
PAMI
1998
87views more  PAMI 1998»
13 years 8 months ago
Learning Local Languages and Their Application to DNA Sequence Analysis
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
Takashi Yokomori, Satoshi Kobayashi