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Unfortunately, v the current database the runs this site, i don\"t have data around which senses of ~term~ room used most commonly. I\"ve got ideas about how to settle this however will require to find a resource of \"sense\" frequencies. Hopefully there\"s sufficient info above to help you recognize the part of decided of ~term~, and also guess at its most common usage.

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Word Type

For those interested in a little info around this site: it\"s a side job that I developed while working on relenten Words and also Related Words. Both the those tasks are based approximately words, however have lot grander goals. I had actually an idea because that a website the simply explains the word species of the words that you search for - as with a dictionary, yet focussed on the part of speech of the words. And also since I already had a many the infrastructure in location from the various other two sites, ns figured that wouldn\"t be as well much an ext work to get this up and running.

The thesaurus is based on the amazing Wiktionary task by wikimedia. I originally started with WordNet, however then realised the it was absent many varieties of words/lemma (determiners, pronouns, abbreviations, and also many more). This caused me to investigate the 1913 execution of Websters dictionary - i m sorry is currently in the public domain. However, ~ a day\"s occupational wrangling it into a database ns realised the there were far too plenty of errors (especially through the part-of-speech tagging) because that it to be viable for Word Type.

Finally, i went earlier to Wiktionary - i beg your pardon I already knew about, however had been avoiding because it\"s not properly structured for parsing. That\"s as soon as I stumbled across the UBY job - an amazing task which needs much more recognition. The researchers have actually parsed the totality of Wiktionary and other sources, and also compiled everything into a solitary unified resource. I just extracted the Wiktionary entries and threw them right into this interface! therefore it took a little more work 보다 expected, however I\"m happy I preserved at that after the first pair of blunders.

Special thanks to the contributors of the open-source password that was provided in this project: the UBY project (mentioned above),
mongodb and express.js.

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Currently, this is based on a variation of wiktionary i m sorry is a few years old. I arrangement to update it to a newer version soon and also that update should carry in a bunch of brand-new word senses for countless words (or more accurately, lemma).