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German Localization + 1 Extra-Dollar for Thimbleweed Park is a really cool stretch goal

Stretch goals for the localization of Thimbleweed Park

Interesting news regarding the Thimbleweed Kickstarter: Videogame localization legend Boris Schneider-Johne offered via Twitter to localize the brand new classic retro graphic point and click adventure game into German - for free:

Schneider-Johne was responsible for the great localization of the Lucasfilmgames graphic adventures Maniac Mansion and The Secret of Monkey Island. Schneider-Johne first changed from videogame journalism at the German game magazine Power Play to the localizing site which as a matter of fact did not yet exist at this time.

His first localization was a localized "hack" of the Activision adventure game "Murder on the Mississippi": He used a Hex-Editor to alter the text-assets of the game - and created en passent one of the first german videogame localizations at all.

Well, as you may have seen on the image above: this is the kind, cool and tremendous reaction of the Thimbleweed Makers on Boris' kind, cool and tremendous offer.

Character Recognition Recognition

Screenshot of Reverse OCR Tumblr

Via Twitter I stumbled upon the Reverse OCR bot yesterday. The bot itself states its mission like this:

I am a bot that grabs a random word and draws semi-random lines until the OCRad.js library recognizes it as the word.

And indeed, it is pretty interesting to follow those inexplicable lines which the OCRad algorithm identifies as words. You get a glance on why it is so difficult to write a good OCR system although most of us can parse text without any afford.

Darius Kazemi, the man behind Reverse OCR is an internet artist. On his website "Tiny Subversions" he lists a lot of other werid stuff he created, e.g. a bot that shops random stuff at amazon or a tool for creating presentations using the first image of a google search to a given list of topics.

Beziehungsgezwitscher

Um Beziehungen in sozialen Netzwerken zu identifizieren und auszuwerten, ist es gar nicht nötig, dass Leute wie bei Facebook ihren Beziehungsstatus angeben. Drei Forscher aus Finnland, Katar und den USA haben es nur anhand von öffentlichen Tweets geschafft. Fünf Monate lang beobachteten sie etwa 40.000 Paare auf Twitter und analysierten danach vor allem die 661 Paare, die sich in dieser Zeit getrennt hatten.

WIRED Germany: Liebe auf Twitter