This device helps you uncover adjectives for things that you"re trying to describe. Also check the end ReverseDictionary.org and RelatedWords.org. Here are part adjectives for ~term~: . Friend can gain the definitions of these ~term~ adjective by clicking them. Girlfriend might also like part words regarded ~term~ (and find more here).

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Words to Describe an additional Word

Below is a list of describing words because that another word. You can sort the descriptive indigenous by uniqueness or commonness using the switch above. Sorry if there"s a couple of unusual suggestions! The algorithm isn"t perfect, yet it does a pretty good job because that most usual nouns. Here"s the list of native that can be used to explain another word:


Words to define ~term~

As you"ve most likely noticed, adjectives for "term" are listed above. Hope the over generated list of native to define term suits your needs.

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If you"re acquiring strange results, it might be that your query isn"t quite in the ideal format. The search box should be a basic word or phrase, favor "tiger" or "blue eyes". A find for words to describe "people who have actually blue eyes" will most likely return zero results. For this reason if you"re not obtaining ideal results, check that your search term, "term" isn"t confusing the engine in this manner.

Note likewise that if over there aren"t numerous term adjectives, or if there space none in ~ all, it could be that your search term has actually an abiguous part-of-speech. Because that example, words "blue" have the right to be an noun and also an adjective. This confuses the engine and so you could not get plenty of adjectives relenten it. I might look into fixing this in the future. Friend might also be wondering: What type of native is ~term~?


Describing Words

The idea for the Describing words engine came when I was building the engine for related Words (it"s favor a thesaurus, however gives friend a much broader set of associated words, quite than just synonyms). While playing around with native vectors and the "HasProperty" API that conceptnet, I had a little bit of funny trying to get the adjective which commonly describe a word. At some point I realised the there"s a much much better way of law this: parse books!

Project Gutenberg was the early stage corpus, however the parser gained greedier and greedier and also I finished up feeding the somewhere about 100 gigabytes the text files - mainly fiction, consisting of many contemporary works. The parser simply looks v each book and pulls the end the miscellaneous descriptions of nouns.

Hopefully it"s much more than just a novelty and some people will actually find it advantageous for their writing and also brainstorming, however one neat small thing to shot is come compare two nouns which are similar, yet different in some far-reaching way - for example, gender is interesting: "woman" versus "man" and "boy" versus "girl". On an inital quick evaluation it appears that writer of fiction are at least 4x more likely to define women (as protest to men) through beauty-related state (regarding your weight, features and general attractiveness). In fact, "beautiful" is maybe the many widely used adjective for ladies in all of the world"s literature, which is rather in line through the general unidimensional representation of females in plenty of other media forms. If anyone wants to do additional research into this, allow me know and I can offer you a lot much more data (for example, over there are about 25000 various entries because that "woman" - too numerous to show here).

The blueness of the outcomes represents their loved one frequency. You can hover over things for a 2nd and the frequency score should pop up. The "uniqueness" sorting is default, and also thanks to my facility Algorithm™, the orders castle by the adjectives" uniqueness to that certain noun relative to various other nouns (it"s actually pretty simple). As you"d expect, you deserve to click the "Sort By usage Frequency" button to adjective by their intake frequency for the noun.

Special thanks to the contributors that the open-source mongodb i m sorry was provided in this project.

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