This tool allows you to find the grammatical word type of almost any word.
- reduce can be used as a verb in the sense of "To bring down the size, quantity, value or intensity of something; to diminish, to lower, to impair." or "To lose weight." or "To bring to an inferior rank; to degrade, to demote." or "To humble; to conquer; to subdue; to capture." or "To bring to an inferior state or condition." or "To decrease the liquid content of food by boiling much of its water off." or "To add electrons / hydrogen or to remove oxygen." or "To produce metal from ore by removing nonmetallic elements in a smelter." or "To simplify an equation or formula without changing its value." or "To convert to written form (Usage note: this verb almost always take the phrase "to writing")."
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).