More on Statistical Language Translation
DrLudicrous writes "The NYTimes is running an article about how statistical language translation schemes have come of age. Rather than compile an extensive list of words and their literal translations via bilingual human programmers, statistical translation work by comparing texts in both English and another language and 'learning' the other language via statistical methods applied to units called 'N-grams'- e.g. if 'hombre alto' means tall man, and 'hombre grande' means big man, then hombre=man, alto=tall, and grande=big." See our previous story for more info.
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It takes 40+ muscles to frown, but only four to extend your arm and bitchslap the motherfucker
The Cows are back! MooKore will be moo-ing all over the next article! There will be at least 100 cow posts on the next article! Be there at the next article
-- MooKore!
Besides, I'm sure the Klingon Language Institute needs any press around here.
So this is where the chess club wound up.
...till they create human-equine translator, so I could wink to a mare and ask "Hey, babe, feeling horny?" instead of going through all that cross-species communication trouble.
Now that artificial intelligence (AI) has been solved, machine translation (MT) may advance to a higher plane of equality with human translators who spend years learning the nuances and subtleties of their target human languages.
Computer science has found the Holy Grail of AI in the Concept-Fiber Theory of Mind that led directly to the free AI source code of the Mind-1.1 Tutorial AI described in the AI For You textbook of artificial intelligence and robotics.
The Association for Computing Machinery has published an article on the robot Mind.Forth AI, and a well-known AI expert has favorably reviewed the Fiber-Concept Theory of Mind.
Traditional Artificial Intelligence Textbooks are suddenly obsolete, outmoded, or desperately in need of thorough revision and updating to teach Automatic Machine Translation now that AI has been solved.
...try japanese or chinese.