Bejesus A cockamamie AI can predict which craptacular words youll find funny

first_imgiStock.com/drante By Matthew HutsonJun. 17, 2019 , 11:05 AM Bejesus! A cockamamie AI can predict which craptacular words you’ll find funny Country * Afghanistan Aland Islands Albania Algeria Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia, Plurinational State of Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, the Democratic Republic of the Cook Islands Costa Rica Cote d’Ivoire Croatia Cuba Curaçao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Holy See (Vatican City State) Honduras Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Korea, Democratic People’s Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macedonia, the former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Moldova, Republic of Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Norway Oman Pakistan Palestine Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Qatar Reunion Romania Russian Federation Rwanda Saint Barthélemy Saint Helena, Ascension and Tristan da Cunha Saint Kitts and Nevis Saint Lucia Saint Martin (French part) Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Islands South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan Tajikistan Tanzania, United Republic of Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Venezuela, Bolivarian Republic of Vietnam Virgin Islands, British Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe Email Click to view the privacy policy. Required fields are indicated by an asterisk (*) Sign up for our daily newsletter Get more great content like this delivered right to you! Country LONG BEACH, CALIFORNIA—Robots might not yet make great standup comedians, but computers are learning to predict what we’ll find funny, according to a study presented here last week at the International Conference on Machine Learning.Researchers conducted online surveys in which Americans rated the humor value of 120,000 words and nonwords, then used computers to analyze the data. Using ratings of some words, an algorithm could predict the humor of others. Predictably, senses of humor were idiosyncratic. But the software did find clusters of people with similar taste. For example, one mostly female cluster liked funny-sounding words (“gobbledegook,” “kerfuffle”), a younger male cluster liked sexual words (“asshattery,” “dong”), and an older group liked scatological and insulting words (“crapola,” “wanker”). (We’re excluding more explicit words.)People judged words not just on humor, but also on whether they were colloquial (“wee lad”), insulting (“nincompoops”), juxtaposed (“party poopers”), scatological (“dung”), sexual (“foreskins”), or funny sounding (“lollygag”). If a word rated highly on any of these factors, it was more likely to be funny, but sounding funny was the most important factor. The researchers also identified certain words rated much funnier by women than by men (“whakapapa,” “doohickey”), and others more preferred by men (“sexual napalm,” “poundage”). Given someone’s sense of humor profile—based on which words they found funny—the artificial intelligence (AI) could predict better than chance whether they were a man or a woman. It could also use such profiles to predict which of two people would find a given word funnier.The research could lead to chatbots that sound more human and might be scaled up to predict the funniness of phrases or sentences, which could lead to writers’ assistants for evaluating or even generating chucklers. To those who think AI is hopeless at getting humor, the machines have one word for you: poppycock.last_img