Describing Wordsfor Browns

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Here are some adjectives for browns: color--mainly dark, drab, raw, murky olive, humble and plebeian, such khaki, turgid old, tawny or sayal, mainly dark, modern omniscient, red and sombre, twentieth, general, sienna and various, rich uneducated, delicate and flaky, rich, uneducated, transparent bituminous, foreign services--marshal, green, gray, orthodox and practical, gray, mellow, obsolete, sayal, intangible reddish, dark, seal, olive, dark, rather effeminate and methodical, yellow and deepest, few untidy, tentative few, fat and famous, suddenly drab. You can get the definitions of these browns adjectives by clicking on them. You might also like some words related to browns (and find more here).

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Click words for definitions.

Words to Describe browns

Below is a list of describing words for browns. 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 browns:

color--mainly dark drab, raw murky olive humble and plebeian such khaki turgid old tawny or sayal mainly dark modern omniscient red and sombre twentieth, general sienna and various rich uneducated delicate and flaky rich, uneducated transparent bituminous foreign services--marshal green, gray orthodox and practical gray, mellow obsolete, sayal intangible reddish dark, seal olive, dark rather effeminate and methodical yellow and deepest few untidy
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tentative few fat and famous suddenly drab soft-spoken, former imperious black medieval swiss pink, subtle poor handicapped green and sun-baked silent unemotional tasteful soft coy, major gray and lighter warm semi-neutral sedate reddish murky dull warm translucent full tawny useful permanent protective golden rich, ruddy dandy old harmoniously blended regular trial seemingly monotonous various direct general, marshal deep, harmonious deep but clear own decent promising, young sober russet more drab own lustrous semi-neutral rich ruddy stolid-looking savage and capricious soft radiant subtle and strong red, rich rich natural almost silky dark mental cunning, old reddish and yellowish now sombre rich reddish soft, shadowy soft natural delicate, translucent heavy german soft dark curious and suspicious rich, fertile other high-ranking wonderful purple little shaggy deep, mellow rich warm rather effeminate various dark soft, pale fine transparent deeper and richer comparatively warm deep rich poor ole dull, hard clean, bright major general strange golden pure clear rich, mellow beautiful rich end-of-season pale yellowish mostly dark gallant general warm golden more sober soft sandy warm, rich red or yellow old admiral much darker good, generous few dull rich, warm beautiful warm more ethereal same dull usual dark sienna more customary clean bright rich crimson rich golden more sombre russet dull, dead fallow bituminous small bright deep, rich little bright dour young and inexperienced selfish little late general tawny earthy such rich full-bodied many golden sober drab miserable little two-tone more practical same delicate beady rich stern old nice young old general ruddy reddish rich old mellow few other audacious velvety dull pastel yellowish soft warm male and female autumnal warm toneless bright golden muddy khaki flaky softest blended rich red darker sombre deep red olive frisky fainter corrosive richest harmonious soft-spoken lighter dusky lustrous blinding soft more subtle sandy diversified more usual sultry golden neutral nondescript benighted sun-baked resonant red and yellow dark poor old dainty somber transparent watery furry duller warmer methodical funny little many little torpid softer pale deepest sinuous charred coppery twentieth richer subtle dappled greenish alluring various other translucent darkest coy creamy shadowy delicate murky rusty few more toxic silky obsolete shapeless hazy sodden deeper mournful cloudy deep dear little pleasing many more wrinkled fertile smoky shaggy cool yellow dusty good old orthodox several other german decent direct glossy delicious radiant natural sunny fiery serviceable modest practical bright dingy purple dismal poor little brilliant humble bare red shabby rough independent male crimson wet monotonous stark coarse plain vigorous misty orange dirty hairy gray myriad various crisp bland clean promising exquisite random gay top neat dry dim permanent dreadful cunning young mental honest customary faint strong sturdy green fat native dead grim clear savage royal similar pink endless wonderful common black wretched sad standard heavy pure gentle different usual true curious general hard good simple huge certain

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Words to Describe browns

As you've probably noticed, adjectives for "browns" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "browns" are: color--mainly dark, drab, raw, murky olive, humble and plebeian, and such khaki. There are 345 other words to describe browns listed above. Hopefully the above generated list of words to describe browns 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, "browns" isn't confusing the engine in this manner.

Note also that if there aren't many browns 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 browns?

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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