Word Type
Extract can be a noun or a verb.
extract used as a noun:
- That which is extracted or drawn out.
- A portion of a book or document, incorporated distinctly in another work; a citation; a quotation.
- A decoction, solution, or infusion made by drawing out from any substance that which gives it its essential and characteristic virtue; essence; as, extract of beef; extract of dandelion; also, any substance so extracted, and characteristic of that from which it is obtained; as, quinine is the most important extract of Peruvian bark.
- A solid preparation obtained by evaporating a solution of a drug, etc., or the fresh juice of a plant; -- distinguished from an abstract.
- A peculiar principle once erroneously supposed to form the basis of all vegetable extracts; -- called also the extractive principle.
- Ancestry; descent.
- A draft or copy of writing; a certified copy of the proceedings in an action and the judgment therein, with an order for execution.
Nouns are naming words. They are used to represent a person (soldier, Jamie), place (Germany, beach), thing (telephone, mirror), quality (hardness, courage), or an action (a run, a punch). Learn more →
extract used as a verb:
- To draw out or forth; to pull out; to remove forcibly from a fixed position, as by traction or suction, etc.; as, to extract a tooth from its socket, a stump from the earth, a splinter from the finger.
- To withdraw by expression, distillation, or other mechanical or chemical process; as, to extract an essence. Compare abstract, transitive verb.
- To take by selection; to choose out; to cite or quote, as a passage from a book.
- To determine (a root of a number).
"Please extract the third root of 27."
Verbs are action words and state of being words. Examples of action words are: ran, attacking, dreamed. Examples of "state of being" words are: is, was, be. Learn more →
Related Searches
What type of word is extract?
- Verb usage: Please extract the third root of 27.
Unfortunately, with the current database that runs this site, I don't have data about which senses of extract are used most commonly. I've got ideas about how to fix this but will need to find a source of "sense" frequencies. Hopefully there's enough info above to help you understand the part of speech of extract, and guess at its most common usage.
Word Type
For those interested in a little info about this site: it's a side project that I developed while working on Describing Words and Related Words. Both of those projects are based around words, but have much grander goals. I had an idea for a website that simply explains the word types of the words that you search for - just like a dictionary, but focussed on the part of speech of the words. And since I already had a lot of the infrastructure in place from the other two sites, I figured it wouldn't be too much more work to get this up and running.
The dictionary is based on the amazing Wiktionary project by wikimedia. I initially started with WordNet, but then realised that it was missing many types of words/lemma (determiners, pronouns, abbreviations, and many more). This caused me to investigate the 1913 edition of Websters Dictionary - which is now in the public domain. However, after a day's work wrangling it into a database I realised that there were far too many errors (especially with the part-of-speech tagging) for it to be viable for Word Type.
Finally, I went back to Wiktionary - which I already knew about, but had been avoiding because it's not properly structured for parsing. That's when I stumbled across the UBY project - an amazing project which needs more recognition. The researchers have parsed the whole of Wiktionary and other sources, and compiled everything into a single unified resource. I simply extracted the Wiktionary entries and threw them into this interface! So it took a little more work than expected, but I'm happy I kept at it after the first couple of blunders.
Special thanks to the contributors of the open-source code that was used in this project: the UBY project (mentioned above), @mongodb and express.js.
Currently, this is based on a version of wiktionary which is a few years old. I plan to update it to a newer version soon and that update should bring in a bunch of new word senses for many words (or more accurately, lemma).