DocumentCode
2769620
Title
A Structured Context Model for Grammar Learning
Author
Chang, Nancy ; Mok, Eva
Author_Institution
California Univ., Berkeley
fYear
0
fDate
0-0 0
Firstpage
1604
Lastpage
1611
Abstract
We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, embodied construction grammar (ECG), with representations for tracking both entities and events in discourse and situational context. The notation employs an intermediate level of granularity between low-level sensorimotor representations (such as that suitable for dynamic models of action and events for grounded language learning) and the more schematic representations needed for learning and using grammar. The resulting model allows existing systems for simulation-based language understanding and comprehension-driven grammar learning to represent, interpret and acquire a variety of contextually grounded construction.
Keywords
computational linguistics; grammars; embodied construction grammar; grammar learning; language acquisition; language understanding; sensorimotor representations; simulation; structured context model; Computational modeling; Computer science; Concrete; Context modeling; Electrocardiography; Grounding; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.246625
Filename
1716298
Link To Document