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In the popular board game Don't Say It! players draw cards asking them to describe a given term without using the four words most commonly associated with it.
(According to Google Trends, which quantifies the rate at which a given term is searched, "creepypasta" has skyrocketed in just the last few months — roughly five times what it was at midyear).
Sometimes a given term refers to an actual but realization-restricted kind.
Top Tweets from big moments in the past pop out when you search for a given term.
To determine what a given term "Xi" means, we find the kind Ki that is most effective at causing "Xi".
Here, inverted index can be used as a measure to check OWL-S description contain the given term.
WordNet is a popular API which provides an excellent way for generating semantic similar terms for a given term.
This result is especially indicative because there is state level variation in the number of years in a given term.
The number of queries for a given term is rescaled to a value between 0 and 100.
It requires going through with the vocabulary and synonyms data for the given term in the hierarchy of semantic relationship.
Detection scores are normalized by the sum of all the scores of the detections of the given term.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com