Special thanks to the contributors of the open-source mongodb which was used in this project. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. The blueness of the results represents their relative frequency. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books! While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. So, have you thought about leaving a comment, to correct a mistake or to add an extra value to the topic ? I’m all ears.The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms). You may want to know the content of nearby topics so these links will tell you about it ! Please remember that I’ll always mention the master topic of the game : Word Serenity Answers, the link to the previous level : Word Serenity Using Kitchen Knives and the link to the next one Word Serenity vacuum-cleaners. MIRACULOUS, UNCANNY, FASCINATING, DREAMY, IDEAL.Answers of Word Serenity Utterly Magical: This may help players who visit after you. Anyway, I liked the graphical particularities of the game and an impressive lighting certainly seems to be the most interesting part of the game. The bonus words that I have crossed will be available for you and if you find any additional ones, I will gladly take them. The complete list of the words is to be discoved just after the next paragraph.Īnd about the game answers of Word Serenity, they will be up to date during the lifetime of the game. That was a brief snippet of my findings in Utterly Magical.
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