They then evaluated nouns, adjectives and verbs with a “sexiness” function to determine whether a sentence is a potential TWSS [That’s What She Said]. Examples of nouns with a high sexiness function are “rod” and “meat”, while raunchy adjectives are “hot” and “wet”. Their automated system, known as Double Entendre via Noun Transfer, or DEviaNT, rates sentences for their TWSS potential by looking for particular elements such as nouns that can be interpreted in multiple ways. The researchers trained DEviaNT by gathering jokes from twssstories.com and non-TWSS text from sites such as wikiquote.org.
Screw all these other posers, science has gone and solved the issue of who should replace Michael Scott on The Office: a computer program designed to make double entendres. The program is called Double Entendre via Noun Transfer, or DEviaNT, and was created by two computer scientists at the University of Washington, Chloé Kiddon and Yuriy Brun. The program is based on an analysis of two bodies of text: 1.5 million erotic sentences, and another with 57,000 from standard literature. Sounds like they’ve got their hands full with a meaty piece of software.