American Sign Language contains more information and is less redundant than spoken English, according to scientist Andrew Chong and colleagues at Princeton University. The conclusion comes after measuring the frequency of handshapes in videos of signing on Web sites and videos of conversations in sign language recorded on campus. The team found that the information content of the handshapes averaged 0.5 bits per shape less than the theoretical maximum, while the information content of the fundamental units of spoken English is about three bits below the maximum possible. The finding helps explain why signers are able to keep up with speakers, even though they make hand gestures and handshapes at a slower pace. The research is key for the development of automated sign recognition technology. Researchers need to understand sign language better in order to encode and transmit it electronically by means other than video recordings.
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Tags: Puzzle, Sign Language
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