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Scrape can be a verb or a noun.

scrape used as a verb:

  1. To draw a sharp or angular object along (something) while exerting pressure.
    "Her fingernails scraped across the blackboard, making a shrill sound."
  2. To cause something to be in the state implied by the adverb by scraping.
    "Scrape the chewing gum off with a knife. (= "remove the chewing gum with a knife by scraping")"
  3. To injure by scraping.
    "She tripped on a rock and scraped her knee."
  4. To extract data embedded in a screenshot or formatted medium (such as an HTML web page) by means of an automated program.

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 →

scrape used as a noun:

  1. A broad, shallow injury left by scraping (rather than a cut or a scratch).
    "He fell on the sidewalk and got a scrape on his knee."
  2. A fight; especially a fist fight without weapons.
    "He got in a scrape with the school bully."
  3. An awkward set of circumstances.
    "I'm in a bit of a scrape — I've no money to buy my wife a birthday present."
  4. A D and C or abortion; or, a miscarriage.
  5. A shallow depression used by ground birds as a nest; a nest scrape.

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 →

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What type of word is scrape?

As detailed above, 'scrape' can be a verb or a noun. Here are some examples of its usage:
  1. Verb usage: Her fingernails scraped across the blackboard, making a shrill sound.
  2. Verb usage: Scrape the chewing gum off with a knife. (= "remove the chewing gum with a knife by scraping")
  3. Verb usage: She tripped on a rock and scraped her knee.
  4. Noun usage: He fell on the sidewalk and got a scrape on his knee.
  5. Noun usage: He got in a scrape with the school bully.
  6. Noun usage: I'm in a bit of a scrape — I've no money to buy my wife a birthday present.

Unfortunately, with the current database that runs this site, I don't have data about which senses of scrape 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 scrape, 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).

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