Describing Wordsfor Airport

examples: nose,  winter,  blue eyes,  woman

Here are some adjectives for airport: tiny regional, terminal and international, frantic metropolitan, busy international, other brand-new, dangerous commercial, corresponding international, laughably ineffective, montreal and dorval, mammoth, busy, public commercial, tiny liberal, dead, dingy, surprisingly small and drab, exceptionally uninviting, southern international, in-ternational, local in-ternational, little bloomington-normal, defunct local, montreal international, modern, international, full-sized international, lavish civilian, nearest commercial, relatively lax, decent commercial, international, provincial, miniature, suitable anonymous. You can get the definitions of these airport adjectives by clicking on them. You might also like some words related to airport (and find more here).

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Click words for definitions.

Words to Describe airport

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

tiny regional terminal and international frantic metropolitan busy international other brand-new dangerous commercial corresponding international laughably ineffective montreal and dorval mammoth, busy public commercial tiny liberal dead, dingy surprisingly small and drab exceptionally uninviting southern international in-ternational local in-ternational little bloomington-normal defunct local montreal international modern, international full-sized international
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lavish civilian nearest commercial relatively lax decent commercial <span>international provincial, miniature suitable anonymous nearest international main international medium-sized commercial outlying private small but modern nearest regional secret alien new international major chinese surprisingly small small international government-owned tiny local great transcontinental small regional tiny military own international arrival, several small, unimportant small municipal nearest real nearest suitable empty little nearest big nearest military highest commercial nearest major small military nearby military suddenly alert better alert relatively primitive fairly serviceable small coastal big international former national real international barren little former commercial big, busy huge international small private small civilian new super big-city modern international international small suburban noisy, bustling major european small secondary small, private busiest open and several duty-free dorval regional new municipal lax ocal stateless intercontinental small rural outdated large commercial little rural major international small commercial grubby little municipal fine modern three-hour small local commercial two-lane whole damned air-conditioned small-town well-run obscure little montreal own damn ultra-modern military civilian andean nearest rural low white exact same offshore cold blue fair-sized busy babylonian closest philippine outlying private well-equipped transcontinental purposeless major federal local more convenient ineffective brazilian nearby uninviting bustling uniformed stringent out-of-the-way unimportant mock far distant own private little private futuristic ramshackle medium-sized windswept disused coastal brand-new european northern metropolitan ratty world-famous public and private relevant late-night main operative ruinous damn suburban dummy civil noisy cuban luxurious jaded antiquated arrival uncomfortable defunct drab alternate dilapidated terminal obliging wrong alert lousy newer makeshift entire hapless cosmic next colorful favorite haunting public shabby bal miniature worst modern automatic blond serviceable larger sunken biggest smaller central minor huge national capital primitive remote damned mammoth spectacular oversized fabulous beloved distant swiss anonymous specific suitable regular unfamiliar wooden perfect logical great many principal adequate modest official enormous provincial past dingy japanese dismal super open small liberal possible secondary different former identical convenient african spanish whole cool old-fashioned idle classic foreign typical greatest conventional proper bloody silent domestic ideal southern bright unexpected familiar gray secret complete temporary alien invisible chinese active german important cheap usual sure certain normal quiet human clear empty excellent various ancient bad long dead cold low special big french white blue famous ordinary red single best mere

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Words to Describe airport

As you've probably noticed, adjectives for "airport" are listed above. According to the algorithm that drives this website, the top 5 adjectives for "airport" are: tiny regional, terminal and international, frantic metropolitan, busy international, and other brand-new. There are 306 other words to describe airport listed above. Hopefully the above generated list of words to describe airport 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, "airport" isn't confusing the engine in this manner.

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

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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