Title :
Neural Modeling Fields for Natural Language
Author :
Perlovsky, Leonid I.
Author_Institution :
Harvard Univ., Hanscom AFB
Abstract :
Natural language computer interfaces and search engines remain elusive goals. The paper considers mathematical difficulties encountered in the past and describes adaptive learning of language (language acquisition) using neural modeling fields and dynamic logic.
Keywords :
computational linguistics; formal logic; learning (artificial intelligence); natural languages; adaptive language learning; dynamic logic; language acquisition; natural language computer interfaces; neural modeling fields; search engines; Cognition; Computer interfaces; Humans; Learning; Natural languages; Neural networks; Pattern recognition; Pervasive computing; Search engines; Speech;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371001
