DocumentCode
1941521
Title
Neural Modeling Fields for Natural Language
Author
Perlovsky, Leonid I.
Author_Institution
Harvard Univ., Hanscom AFB
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
466
Lastpage
470
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371001
Filename
4371001
Link To Document