Describing Wordsfor Overcast

examples: nosewinterblue eyeswoman

Here are some adjectives for overcast: earlier thin, omnipresent high, smoggy orange, solid low, dense, grey, central dense, dismal french, perpetual, illusory, normal cloudy, long-held low, low, monochromatic, sudden gloomy, grey, metallic, nearly permanent, perpetual thin, perpetual mild, oddly sudden, sullen, gray, constant heavy, bleak, heavy, sullen dark, almost permanent, un-seasonal, perpetual brown, endless, featureless, thin high, sodden, heavy, hot, grey, gradually more and more, gradually more. You can get the definitions of these overcast adjectives by clicking on them. You might also like some words related to overcast (and find more here).

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Click words for definitions.

Words to Describe overcast

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

earlier thin omnipresent high smoggy orange solid low dense, grey central dense dismal french perpetual, illusory normal cloudy long-held low low, monochromatic sudden gloomy grey, metallic nearly permanent perpetual thin perpetual mild oddly sudden sullen, gray constant heavy bleak, heavy sullen dark almost permanent un-seasonal perpetual brown endless, featureless thin high sodden, heavy hot, grey gradually more and more gradually more solid gray now unbroken
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pale reddish eternal gray same continuous dingy gray brighter or more high thin low, menacing still solid low gray thick, murky low and heavy blacker and more dull orange high, fine fine double yellowish gray still white steel-gray same gray high gray still gray dark and angry high, bright colder and more solid white windless nice solid dirty gray thin, high deep brown soft, low high, thin good deal leaden muggy silver-gray hazy cold, gray ashen gray darker and more monochromatic dull brown cold gray milky volcanic thin gray brighter dense heavy more and more gloomy thick red dour permanent murky unseasonable grey high-altitude reddish dull gray charcoal malevolent perpetual yellow-green pallid solid low colder fitful blacker featureless thick slight impenetrable brassy high glum sultry double orange diffuse dismal raw thin eternal darkling cloudy smug dull ritual much less typical deepest purple humid deal heaviest illusory menacing bleak dark continuous whitish lumpy constant dominant little more monotonous sullen metallic silvery pale blue more or less much more ominous temporary oppressive flat indefinite less unnatural sodden deep amber fine wet turbulent abnormal blue dreary dirty watery unbroken foul darker cold sudden bitter dry general southern ragged dingy white seeming brown persistent stubborn continual ordinary golden upper endless mental bright sad full magical subsequent strange black mild more least angry occasional usual green yellow simple late cool sweet modern long sharp grand empty hot pale french soft entire red single al

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Words to Describe overcast

As you've probably noticed, adjectives for "overcast" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "overcast" are: earlier thin, omnipresent high, smoggy orange, solid low, and dense, grey. There are 214 other words to describe overcast listed above. Hopefully the above generated list of words to describe overcast 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, "overcast" isn't confusing the engine in this manner.

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

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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