• Smart Media Journal
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• v.1 no.3
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• pp.8-14
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• 2012

In this paper, we develope the smart phone App. contents of 3D sign language to widen the opportunity of the korean sign language education for the hearing-impaired and normal people. Especially, we propose the sign language conversion algorithm that automatically transform the structure of Korean phrases to the structure of the sign language. Also, we implement the 3D sign language animation DB using motion capture system and data glove for acquiring the natural motions. Finally, UNITY 3D engine is used for the realtime 3D rendering of sign language motion. We are distributing the proposed App. with 3D sign language DB of 1,300 words to the iPhone App. store and Android App. store.

• Language and Information
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• v.10 no.1
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• pp.71-91
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• 2006

The linguistic characteristics of a sign language provide an important clue for an automatic construction of its expression from a given natural language sentence. For such characterization, we focus on the identification of elided constituents, the mapping of property-changing information into spatio-temporal dimension, and the need for rearranging the order of component information for enhanced quality of delivery. We use our characterization to implement a system that converts sentences in Korean into corresponding expressions in the Korean Sign Language.

• The Transactions of the Korea Information Processing Society
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• v.5 no.3
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• pp.688-702
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• 1998

In this paper, we propose sign language morpheme generation rule corresponding to morpheme analysis for each part of speech. Korean natural sign language has extremely limited vocabulary, and the number of grammatical components eing currently used are limited, too. In this paper, therefore, we define natural sign language grammar corresponding to Korean language grammar in order to translate natural Korean language sentences to the corresponding sign language. Each phrase should define sign language morpheme generation grammar which is different from Korean language analysis grammar. Then, this grammar is applied to morpheme analysis/combination rule and sentence structure analysis rule. It will make us generate most natural sign language by definition of this grammar.