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A Picture Language Translator

Authors: Hiroshi Migiyama; Taiichiro Hayashi; Nikolay N. Mirenkov;

A Picture Language Translator

Abstract

Picture languages are on attractive basis for communication. However, it is difficult to represent and understand accurate meaning in such languages. So, we are developing an approach where pictures with captions are allocated on positions of a 2D structure and special translators generate corresponding sentences in natural languages. These positions have pre-defined meaning and represent a multimedia hieroglyph. The hieroglyph is a complex picture (a multimedia sentence) including more simple pictures (multimedia words). In this approach the "hieroglyphic writing" is reduced to selecting appropriate multimedia words through special interface panels without necessity to use keyboards. As a result, the users can send and receive multimedia messages, though they have never used a computer before. In this paper, methods and implementation techniques for translating multimedia hieroglyphs into English are explained.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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