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From a machine learning perspective this doesn't seem like such a daunting task. We have pretty good speech recognition for human language (plus acceptable speech synthesis). Assuming dolphins have a smaller vocabulary than humans, speech recognition of dolphins should strictly speaking be a simpler problem (although it would be significantly harder to record the training data).


Of if dolphins have a sense of humor all bets are off.

Dophin 1, "Hey I bet we can get that thing to say 'bite me' when it greets someone!"

Dolphin 2, "You think? Ok, every time we meet in front of them you say 'bite me' and i'll say 'wheree?'"


Oh, I'm sure there would be a few unfortunate "drop your panties, Sir William; I cannot wait until lunchtime" incidents, but with an automated Hungarian Phrasebook[1], we'll eventually learn to get by.

More to the point, though, we have no reason to assume that dolphins, any more than, say, apes, have the ability to "chat" -- to communicate about things displaced from the here and now. It's worth a go, of course, but our expectations shouldn't be too high going in.

[1] http://www.youtube.com/watch?v=G6D1YI-41ao


I think part of the problem may be context. Without swimming around with them, and having similar senses (something that these days some wearable sensors might mitigate), it may be difficult to grasp what they are talking about.


the difference is to map the vocabulary to the meaning... even writig down the vocabulary is a challenge...

iiiiaiiiiaiiiiiiiiiaiiiIjii... in dolphin that means "WTF" or "Of course"?


Sure, but we start off already being fluent in the human language we're trying to write software for.




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