Word Type
This tool allows you to find the grammatical word type of almost any word.
- twist can be used as a verb in the sense of "To turn the ends of something, usually thread, rope etc., in opposite directions, often using force." or "To join together by twining one part around another." or "To turn a knob etc." or "To distort or change the truth or meaning of words when repeating." or "To form a twist (in any of the above noun meanings)."
- twist can be used as a noun in the sense of "A twisting force" or "Anything twisted, or the act of twisting; the degree of stress or strain when twisted." or "A type of thread or cotton traditionally used for buttonholes." or "A sliver of lemon peel added to a cocktail, etc." or "A sudden bend (or short series of bends) in a road, path, etc." or "A distortion to the meaning of a word or passage." or "An unexpected turn in a story, tale, etc." or "A type of dance characterised by rotating one's hips." or "A rotation of the body when diving." or "A sprain, especially to the ankle."
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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).