Computational humor | Wikipedia audio article
Channel: wikipedia tts
Date: 18/01/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Computational_humor


00:02:20 1 Joke generators
00:02:30 1.1 Pun generation
00:05:09 1.2 Other
00:05:36 2 Joke recognition
00:06:36 3 Applications
00:08:22 4 Related research
00:09:00 5 See also
00:09:22 6 Further reading



Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.

Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain

Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.

Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.701390705830202
Voice name: en-US-Wavenet-E


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
=======
Computational humor is a branch of computational linguistics and artificial intelligence which uses computers in humor research. It is a relatively new area, with the first dedicated conference organized in 1996.The first "computer model of a sense of humor" was suggested by
Suslov as early as 1992. Investigation of the general scheme of information processing shows the possibility of a specific malfunction, conditioned by the necessity of a quick deletion from consciousness of a false version. This specific malfunction can be identified with a humorous effect on psychological grounds: it exactly corresponds to incongruity-resolution theory. However, an essentially new ingredient, the role of timing, is added to the well-known role of ambiguity. In biological systems, a sense of humor inevitably develops in the course of evolution, because its biological function consists of quickening the transmission of the processed information into consciousness and in a more effective use of brain resources. A realization of this algorithm in neural networks justifies naturally Spencer's hypothesis on the mechanism of laughter: deletion of a false version corresponds to zeroing of some part of the neural network and excessive energy of neurons is thrown out to the motor cortex, arousing muscular contractions.
A practical realization of this algorithm needs extensive databases, whose creation in the automatic regime was suggested recently. As a result, this magistral direction was not developed properly and subsequent investigations accepted somewhat specialized colouring.