Why did the computer cross the road?
Linguists are trying to get computers to do very human things: detect humour, recognise irony, and even write jokes. But can computers do funny? What makes something funny, anyway?
Linguist Daniel Midgley hacks the humour mainframe on this episode of Talk the Talk.
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Show notes
Gina Williams in the Guardian: “Gina Williams on why every Australian should know some Indigenous words”
http://www.theguardian.com/music/2015/mar/28/gina-williams-on-why-every-australian-should-know-some-indigenous-words
Discovering the land and its people through Noongar place names
http://www.abc.net.au/local/stories/2015/04/01/4209443.htm
Boodjar: Nyungar Placenames in the South-West of Western Australia
http://www.boodjar.org.au/
Department of Education: Contrary to popular belief, the ‘up’ at the end of south west town names does not reflect ‘plenty of water’ but ‘place of”.
http://www.det.wa.edu.au/aboriginaleducation/apac/detcms/aboriginal-education/apac/regions/southwest/aboriginal-place-names.en?cat-id=9192406
Australian Kids Are Learning the Warumungu Language With a Radio Cockatoo’s Help
http://globalvoicesonline.org/2015/04/03/australian-kids-are-learning-the-warumungu-language-with-radio-cockatoos-help/
“Pinarra Aku”
http://barklyarts.com.au/pinarra-aku-2/
Ethnologue: Warumungu
http://www.ethnologue.com/language/wrm
What is comedy and what makes something funny?
http://www.thinctanc.co.uk/words/comedy.html
Scientists Discovered What Makes Something Funny
http://www.businessinsider.com.au/bob-mankoff-science-of-funny-humor-new-yorker-cartoon-2014-12
Fawlty Towers: The Hotel Inspectors
http://www.dailymotion.com/video/x27poly_fawlty-towers-s01e04-the-hotel-inspectors_shortfilms
Abbott and Costello: Who’s on First?
Norm MacDonald’s moth joke
http://www.break.com/video/the-moth-joke-norm-macdonald-2519827
Norm Macdonald and the moth joke: Analysis
http://www.metafilter.com/147672/Regarding-Norm-Macdonald-and-the-moth-joke
Huge list of humour in NLP
http://meta-guide.com/dialog-systems/natural-language-generation/joke-generators/
Zhang and Liu: Recognizing Humor on Twitter
http://dl.acm.org/citation.cfm?id=2661997
Taylor and Mazlack: Computationally Recognizing Wordplay in Jokes
http://www.ece.uc.edu/~mazlack/academic.UC/Taylor.CogSci04.pdf
The Science Behind “That’s What She Said” (TWSS)
http://www.extremetech.com/extreme/84244-the-science-behind-thats-what-she-said-twss
[Subject] Could Eat [Object] All Day. That’s What She Said.
http://www.slate.com/blogs/browbeat/2011/05/03/subject_could_eat_object_all_day_that_s_what_she_said.html
Kiddon and Brun: “That’s What She Said: Double Entendre Identification”
http://www.aclweb.org/anthology/P11-2016
Ong, et al: Automatically Extracting Templates from Examples for NLP Tasks
http://anthology.aclweb.org//Y/Y08/Y08-1048.pdf
Evaluating the STANDUP Pun Generating Software with Children with Cerebral Palsy.
http://www.researchgate.net/publication/220535519_Evaluating_the_STANDUP_Pun_Generating_Software_with_Children_with_Cerebral_Palsy
The STANDUP project
http://inf.abdn.ac.uk/research/standup/
All Things Linguistic: Nope
http://allthingslinguistic.com/post/115516629596/nope-tildes-and-twitter-dialects
“Nope” intensifies, diversifies grammatically
https://stancarey.wordpress.com/2014/12/22/nope-intensifies-diversifies-grammatically/
House full of Nopespiders, apparently filmed in Nopesico City.
Nope.
NOPE.
The Word Detective: Nope
http://www.word-detective.com/2009/09/nope/
Language Log: Yep and Nope
http://languagelog.ldc.upenn.edu/nll/?p=2768
Online Etymology Dictionary: nope
http://www.etymonline.com/index.php?term=nope
Was this poem written by a bot, or not?
http://botpoet.com/
Image credit:
http://www.quickmeme.com/img/e7/e722ba857ec1af4ef3060e8a550421c99394144c62e09385da4e30d892600d56.jpg
