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 :
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