Word Type
in- is a prefix:
- Used with certain words to reverse their meaning
"Note: Before certain letters, the changes to another letter:" - # Added to adjectives to mean not
- #: inedible
- #: inaccurate
- # Added to nouns to mean lacking or without
- #: incredulity
- #: ineptitude
- Prefixed to certain words to give the senses of in, into, towards, within.
"inbreed"
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Related Searches
What type of word is in-?
- Prefix usage: Note: Before certain letters, the changes to another letter:
- Prefix usage: il- before l, eg. illegal
- Prefix usage: im- before b, or p, eg. improper
- Prefix usage: ir- before r, eg. irresistible
- Prefix usage: inbreed
- Prefix usage: inbound
Unfortunately, with the current database that runs this site, I don't have data about which senses of in- 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 in-, and guess at its most common usage.
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).
