Describing Words
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 figs
Below is a list of describing words for figs. 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 figs:
- simply ripe
- hardly ripe
- tasteless wild
- sweetly ripe
- full diabolical
- sweeter female
- great parasitic
- chopped best
- olive or unsocial
- sugar-cane, wild
- young bifurcated
- hence seedless
- back scented
- synthetic and hence seedless
- sacred wild
- perfectly fresh and ripe
- wan and dusty
- exuberant wild
- olive and wild
- luscious, purple
- patently transparent
- dark, built-in
- full conventual
- own unripe
- ruminal
- tiny immature
- olive and bushy
- cupful shredded
- brown, complete
- numerous unnumbered
- leafy but fruitless
- doubtless ripe
- withered and thy
- great, luscious
- unripe or unseasonable
- huge, mellow
- opulent purple
- wild, purple
- still fresh and juicy
- hard, inedible
- ripe, purple
- sweet and ripe
- pepal
- excellent juicy
- small tasteless
- available, fresh
- fresh and ripe
- brown fresh
- juicy purple
- little ripe
- few naughty
- stylized heroic
- small unripe
- lithe graceful
- bad unripe
- long, ripe
- grotesque naked
- short or tall
- perhaps stewed
- gnarled wild
- favorite purple
- friendly wild
- black and rotten
- luscious black
- early ripe
- ripe black
- juicy fresh
- full european
- fresh, plump
- green, blue
- purple or golden
- equally questionable
- dumb ole
- weary, somber
- ripe and luscious
- shady wild
- ripe green
- immense and ancient
- beautiful ripe
- fierce hand-to-hand
- wonderful fresh
- fresh ripe
- black or purple
- excellent wild
- solitary wild
- thirty-year old
- sweet native
- ripe purple
- large, shady
- thin or thick
- fresh and fresh
- titanic metal
- few ripe
- full martial
- plump purple
- fresh purple
- large, fine-looking
- dry green
- long exterior
- fine, ripe
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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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