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knit is a verb:

  1. and To turn thread or yarn into a piece of fabric by forming loops that are pulled through each other. This can be done by hand with needles or by machine.
    "The first generation knitted to order, the second still knits for its own use, the next leave knitting to industrial manufacturers"
  2. To join closely and firmly together.
    "The joint fight for survival knitted the men closely together."
  3. To become closely and firmly joined; become compact(ed).
  4. To grow together.
    "All those seedlings knitted into a kaleidoscopic border"
  5. To combine from various elements.
    "The witness knitted his testimony from contradictory pieces of hearsay."

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 →

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What type of word is knit?

As detailed above, 'knit' is a verb. Here are some examples of its usage:
  1. Verb usage: The first generation knitted to order, the second still knits for its own use, the next leave knitting to industrial manufacturers
  2. Verb usage: The joint fight for survival knitted the men closely together.
  3. Verb usage: All those seedlings knitted into a kaleidoscopic border
  4. Verb usage: The witness knitted his testimony from contradictory pieces of hearsay.

Unfortunately, with the current database that runs this site, I don't have data about which senses of knit 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 knit, and guess at its most common usage.

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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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