An ontology-based approach for topic-based interpretation training

Authors:
Man Feng
Affiliations:
School of Foreign Languages, Zhongnan University of Economics and Law, Wuhan, China
Venue:
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Year:
2012

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Abstract

Ontology, used to systematically model the domain knowledge, fa-cilitates not only computation but also cognitive processing of human brain. Whereas, interpretation process involves similar brain activities, an ontology-based training method is proposed for topic-based interpretation training (TBIT) to meet its two major teaching objectives: Both subject knowledge and LSP (Lan-guage for Special Purpose) knowledge are to be acquired by learners. Ontology can help interpreters to clarify unfamiliar concepts, acquire knowledge and trans-form it into long term memory (LTM). An ontology-based training can improve interprter's information processing ability, anticipation ability, and short term memory capacity so that a high efficiency of prior knowledge operation can be re-alized and better quality of rendering can be produced.