This tool allows you to find the grammatical word type of almost any word.
- clip can be used as a verb in the sense of "To grip tightly." or "To fasten with a clip." or "To hug, embrace." or "To collect signatures, generally with the use of a clipboard." or "To cut, especially with scissors or shears as opposed to a knife etc." or "To strike with the hand." or "An illegal tackle: Throwing the body across the back of an opponent's leg or hitting him from the back below the waist while moving up from behind unless the opponent is a runner or the action is in close line play." or "To discard (an occluded part of a model or scene) rather than waste resources on rendering it."
- clip can be used as a noun in the sense of "Something which clips or grasps; a device for attaching one object to another." or "An unspecified but normally understood as rapid speed or pace." or "An embrace." or "Something which has been clipped; a small portion of a larger whole, especially an excerpt of a larger work." or "An act of clipping, such as a haircut." or "A speed or pace." or "The condition of something, its state."
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.
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).