Describing Wordsfor Loincloths

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Here are some adjectives for loincloths: old rubbery, rather deluxe, red, silken, knotted and filthy, brief, loose, clean sun-bleached, neatly pleated, abbreviated brown, excessively ample, bulkily quilted, rather minuscule, brief, colorful, brief, narrow, carefully pleated, slack blue, white ritual, simple purple, already scanty, brilliantly scarlet, thin and dirty, tattered homespun, extremely disreputable, pale, brown, blue metallic, flimsy white, filthy tattered, brief black, mud-caked, crumpled white, skimpy white. You can get the definitions of these loincloths adjectives by clicking on them. You might also like some words related to loincloths (and find more here).

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Words to Describe loincloths

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

old rubbery rather deluxe red, silken knotted and filthy brief, loose clean sun-bleached neatly pleated abbreviated brown excessively ample bulkily quilted rather minuscule brief, colorful brief, narrow carefully pleated slack blue white ritual simple purple already scanty brilliantly scarlet thin and dirty tattered homespun extremely disreputable pale, brown blue metallic flimsy white filthy tattered brief black mud-caked crumpled white skimpy white
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tattered and dirty sober brown usual black skimpy barely adequate same purple loose blue thin white emerald green statutory now dry dirty, ragged neat white ragged old castoff scanty papery do-it-yourself ratty old deluxe off-white simple white pleated narrow white furry dirty white silken filthy tattered ragged brilliantly colored knotted tiny blue brightly colored rubbery sun-bleached small gray abbreviated bloodstained same black scant dirty emerald striped scarlet waterlogged obscene threadbare beige bedraggled grimy brief stylized bright blue crimson clean white homespun floppy metallic flowered briefest charred dingy sweaty floral fine white stringy clean white quilted triangular dark green jeweled ceremonial tight small black brown merest bright green flashy fancy minuscule frayed black grubby makeshift purple supple colored ol colorful newest spare fresh disreputable simple dark blue traditional meager voluminous blue sodden snug ritual drab scarce wet thin green conservative narrow gaudy red adequate primitive decent greasy gray comfortable exotic damned yellow ample thick ridiculous customary dusty basic weird plain tan mere elegant pink loose grey imperial bare dry bright short rough usual wide pale best long ordinary

Popular Searches

Words to Describe loincloths

As you've probably noticed, adjectives for "loincloths" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "loincloths" are: old rubbery, rather deluxe, red, silken, knotted and filthy, and brief, loose. There are 173 other words to describe loincloths listed above. Hopefully the above generated list of words to describe loincloths 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, "loincloths" isn't confusing the engine in this manner.

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

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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