This tool allows you to find the grammatical word type of almost any word.
- nip can be used as a verb in the sense of "To catch and enclose or compress tightly between two surfaces, or points which are brought together or closed; to pinch; to close in upon." or "To remove by pinching, biting, or cutting with two meeting edges of anything; to clip." or "To blast, as by frost; to check the growth or vigor of; to destroy." or "To vex or pain, as by nipping; hence, to taunt." or "To make a quick, short journey or errand; usually roundtrip."
- nip can be used as a noun in the sense of "A small quantity of something edible or a potable liquor." or "A nipple, usually of a woman." or "A playful bite." or "A pinch with the nails or teeth." or "Briskly cold weather." or "A seizing or closing in upon; a pinching; as, in the northern seas, the nip of masses of ice." or "A small cut, or a cutting off the end." or "A blast; a killing of the ends of plants by frost." or "A biting sarcasm; a taunt. (Hugh Latimer.)" or "A short turn in a rope. Nip and tuck, a phrase signifying equality in a contest. [Low, U.S.]" or "A pickpocket."
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).