Describing Words

examples: nosewinterblue eyeswoman

This tool helps you find adjectives for things that you're trying to describe. Also check out ReverseDictionary.org and RelatedWords.org.

Click words for definitions.

Words to Describe tomorrow

Below is a list of describing words for tomorrow. You can sort the descriptive words by uniqueness or commonness using the button above. Sorry if there's a few unusual suggestions! The algorithm isn't perfect, but it does a pretty good job for most common nouns. Here's the list of words that can be used to describe tomorrow:

  • extra rehearsal
  • more dehydrated
  • pre-nechial
  • sometime late
  • bly remote
  • thick further
  • little cardinal
  • nocal
  • french midterm
  • due late
  • back upcountry
  • impossible dazzling
  • new sundial
  • longer current
  • less sore
  • fairly worthless
  • sore and stiff
  • new flat
  • fresh and chipper
  • still earth-shattering
  • abed late
  • french prep
  • wildly stormy
  • endlessly bright
  • direly easy
  • quarter-final
  • damn sore
  • shaky and distant
  • new and blue
  • lethally loony
  • espe\-cially alert
  • phythical
  • utterly loathsome
  • nearly second
  • colder and rougher
  • royal couple
  • cool retro
  • great bacchanal
  • “probably late
  • devilishly sore
  • big ordeal
  • forial
  • somewhat east
  • feal better
  • less leathery
  • palely pure
  • back late
  • awfully foolish
  • maybe dead
  • still okay
  • little siren
  • oreal
  • lindal
  • santoval
  • again late
  • away overnight
  • abundantly clear
  • angry athenian
  • sypcal
  • therefore frightening
  • eight-thirty sharp
  • weaker or stronger
  • alert and sharp
  • rit­ual
  • nice and sharp
  • obnoxious and rude
  • probably safer
  • old corral
  • elegant funeral
  • fresh and ready
  • more distraught
  • more meal
  • obsolete and outworn
  • probably late
  • royal funeral
  • horribly sick
  • more forthcoming
  • eight-thirty
  • back fresh
  • awful busy
  • somewhat kinder
  • royal bahamian
  • nice present
  • septibunal
  • special ritual
  • especially alert
  • neat and quiet
  • dark and red
  • quite hungry
  • future-historical
  • big offensive
  • complete idiot
  • nice and cool
  • a-tall
  • stiff and sore
  • unimaginably remote
  • present incumbent
  • many and more
  • happy and quiet
  • little sore

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Describing Words

The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms). While playing around with word vectors and the "HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. Eventually I realised that there's a much better way of doing this: parse books!

Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. The parser simply looks through each book and pulls out the various descriptions of nouns.

Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: "woman" versus "man" and "boy" versus "girl". On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here).

The blueness of the results represents their relative frequency. You can hover over an item for a second and the frequency score should pop up. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun.

Special thanks to the contributors of the open-source mongodb which was used in this project.

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