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This app lets you play around with word lists in various ways:
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* Random mode lets you pick words at random from a word list. It uses
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- < a href = " https://en.wikipedia.org/wiki/Sampling_(statistics) " >uniform-random sampling without replacement</ a > .
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+ [ uniform-random sampling with replacement ] ( https://en.wikipedia.org/wiki/Sampling_(statistics) ) .
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This means that with a short word list, you are more likely to see repeats.
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- * Jabber mode (for < a href = " https://en.wikipedia.org/wiki/Jabberwocky " >< i >Jabberwocky</ i ></ a > )
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+ * Jabber mode (for [ _ Jabberwocky _ ] ( https://en.wikipedia.org/wiki/Jabberwocky ) )
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lets you see new words spliced together from existing words: for example, like the way we combine
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- < i >spoon</ i > and < i >fork</ i > to make < i >spork</ i > . This uses <a
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- href=" https://en.wikipedia.org/wiki/N-gram">n-grams </ a > using the method detailed in <a
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- href=" https://johnkerl.org/randspell/randspell-slides-ts.pdf">this write-up</ a > from 2012. My
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+ _ spoon _ and _ fork _ to make _ spork _ . This uses
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+ [ n-grams ] ( https://en.wikipedia.org/wiki/N-gram ) with the method detailed in
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+ [ this write-up ] ( https://johnkerl.org/randspell/randspell-slides-ts.pdf ) from 2012. My
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implementation then was a command-line version written in Python; the implementation here is the
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same algorithm, but in JavaScript, usable on desktop or mobile.
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- * Pattern mode is a dictionary lookup. If you type in only letters, such as < code > example</ code > ,
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+ * Pattern mode is a dictionary lookup. If you type in only letters, such as ` example ` ,
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you'll the word at the bottom if it's in the dictionary, or nothing if it isn't. You can also use
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- a < i >.</ i > to match a single letter, and/or < i > * </ i > to match zero or more letters. For example,
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- < i > t..th</ i > will match < i > teeth</ i >, < i > tooth</ i > , and < i > tenth</ i >; < i > th* st</ i > will show you
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- all words starting with < i >th</ i > and ending with < i >st</ i > .
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+ a ` . ` to match a single letter, and/or ` * ` to match zero or more letters. For example,
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+ ` t..th ` will match ` teeth ` , ` tooth ` , and ` tenth ` ; ` th*st ` will show you
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+ all words starting with ` th ` and ending with ` st ` .
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- * < a href = " https://en.wikipedia.org/wiki/Anagram " >Anagram</ a > mode lets you see all the ways the
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+ * [ Anagram ] ( https://en.wikipedia.org/wiki/Anagram ) mode lets you see all the ways the
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letters of a given word can be permuted to make another existing word.
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* Bee mode is a tool of last resort for the New York Times Spelling Bee (see below
@@ -29,21 +29,21 @@ This app lets you play around with word lists in various ways:
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## About the word lists
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* The Usual Suspects list is a hand-curated collection of words I often miss in the NYT Spelling Bee (see below).
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- * The < a href = " https://en.wikipedia.org/wiki/Swadesh_list " >Swadesh list</ a > is about two hundred
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+ * The [ Swadesh list ] ( https://en.wikipedia.org/wiki/Swadesh_list ) is about two hundred
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core English words, originally developed for linguistic research.
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- * The 2K list is the < a href = " https://en.wikipedia.org/wiki/General_Service_List " >General Service List</ a >
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+ * The 2K list is the [ General Service List ] ( https://en.wikipedia.org/wiki/General_Service_List )
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published by Michael West in 1953.
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* The 10K through 40K lists were found on a web search.
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* The 300K list is one I&rsquo ; ve accumulated over the years, from multiple sources I&rsquo ; ve lost track of.
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- * The Finnegan list is taken from an online corpus of < i >Finnegans Wake</ i > .
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+ * The Finnegan list is taken from an online corpus of _ Finnegans Wake _ .
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* There are some non-English lists I found on the web. There is a skew toward languages I have
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some personal familiarity with.
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## On-line help
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Please see the hosted app, at either of the following locations, for on-line help:
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- * [ https://johnkerl.org/word-finder ] ( https://johnkerl.org/word-finder ) .
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+ * [ https://johnkerl.org/word-finder ] ( https://johnkerl.org/word-finder )
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* [ https://johnkerl.github.io/word-finder ] ( https://johnkerl.github.io/word-finder )
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## JavaScript tooling
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