This tool helps you find adjectives for things that you’re trying to describe. Also check out ReverseDictionary.org and RelatedWords.org. Here are some adjectives for ~term~ : . You can get the definitions of these ~term~ adjectives by clicking on them. You might also like some words related to ~term~ (and find more here).
Sort By Usage Frequency
Click words for definitions.
Loading you some adjectives. Won’t be much longer! 🙂
Words to Describe Another Word
Below is a list of describing words for another word . 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 another word :
Words to Describe ~term~
As you’ve probably noticed, adjectives for ” term ” are listed above. Hopefully the above generated list of words to describe term suits your needs.
If you’re getting strange results, it may be that your query isn’t quite in the right format. The search box should be a simple word or phrase, like “tiger” or “blue eyes”. A search for words to describe “people who have blue eyes” will likely return zero results. So if you’re not getting ideal results, check that your search term, ” term ” isn’t confusing the engine in this manner.
Note also that if there aren’t many term adjectives, or if there are none at all, it could be that your search term has an abiguous part-of-speech. For example, the word “blue” can be an noun and an adjective. This confuses the engine and so you might not get many adjectives describing it. I may look into fixing this in the future. You might also be wondering: What type of word is ~term~ ?
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.
old man – quotes and descriptions to inspire creative writing
The old man had that look about him, the look of a life well lived, one where love took a front row seat in the challenging times and the good times.
Age and wisdom are quite separate things and each can arrive ahead of the other. This was never truer than with this combination of old man and boy.
He was an old man, but I could see the young boy in him still yearning to return to his train set. It was as if his soul sat down at one of those little platforms with the tiny trees, waiting at the miniature station for the steady sound of turning wheels and puffs of steam. Or maybe that inner boy waited for a time to put down the mask of sanguine resilience and be himself all over again, playful and silly. I could see the worry lines and how they made crosses with those of joy, the boy his parents welcomed and the man the world asked for, the one who’d love to rise and the one who’d love to rest.
The doctor wore that face he always did when the news wasn’t good. “Burt, you’re developing Alzheimer’s like your father did.”
Burt’s wrinkled face crumpled as he rubbed it with his spotted hand. “Pops got so violent. He wasn’t himself anymore. Doc, I can’t be like that. ” His voice broke away as his chest heaved.
The doctor shook his head with the tiniest of smiles. “A cup can only spill over if there’s something in it. There’s no anger in you. You’re just not going to remember things so well, and it’s slow, you’ve got a while.”