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Diaspora Letters

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“Diaspora Letters” is an automatic computational asemic writing project which uses machine learning to abstract hand writing letters by extracting shapes and patterns from strokes with ignoring meaning of them in various alphabets.

Human can recognise what language it is without understanding meaning when he/she hears someone’s conversation on street, if he/she have heard of the language. it means human learning sound without meaning from language. Will it happen to letters too?

This project uses same algorithm from “SDM2 – Letters”, however machine learning program learns separately for each various alphabets. Therefore the purpose is to extract shapes of strokes from them.

Using hand-writing letters of Arabic, Chinese, Cyrillic, Hebrew and Japanese.

branch test project of “SDM2-Letters” (collaboration with Takahiro YAMAGUCHI)

generated strokes links
Arabic
DDDH9MgBSSZa87oEV3J0wbWdxTQnbCmcSmoz4jGKZ5I GP87wb0368TIGBMlsjEy9Sgcqsa1xZBox2hxWbOVd0E hW5zqTkf6kTlWEgVSj91kWDrhfxdln90389v31QJetE
Chinese
jsUXvSXx7EGvGNkGXb69Mo55XKqDkprXvNVbvh-pNgA UJ0pjOoqKAOeUSiZ29W21ln5Y-iAXFyqFPBhQATQ6Sk 7DSxYA6TuhvBDjNoaqhhpyvbHTEDzPeEkFzsu6q8cE4
Cyrillic
epO24rlH_GQY9czv1EHXBhDh5Lj8THt7b8vknXz6vuc G0LkGMrnmWo6ykYq7GIEwoV9r-UWFKBcXlhz4SBLT7U Lo1vaBOhCeI47xlXRpFAfwwEVn-y8CyqiLM-8aRhT4Q
Hebrew
8h3EKsMFvFUCPgEvFHc1tsmy3S5UEJkJkpHoOpmYvB4 n9_E-dFVhXd7VZL9kLyGDrkR1MiO4C7rqvYobzfOJOM GTGB1osRPZwcTrqjpoCNqWTBSj1rUeT5UUBQt8hXCeQ
Japanese
oRwRquJViD0XGImDxsHDhRztn-f3DxdkUEIabaa9eGk ki2OTkkvP3zpuMxqjtpCKUqIpGmeRmTSzXEPGAiwXbk x3RHYKUpMLvAxMJbgTy07eLZOr-N8IMprK8_pE6OWfg

Machine Learning Programming: Hironori Sakamoto
photo: Ikumi Hirata
Shown in HUMAN ♥ ROBOT at SPEKTRUM

*asemic writing (from Wikipedia)
Asemic writing is a wordless open semantic form of writing.[1][2] The word asemic means “having no specific semantic content”.