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3 works completed (There are 4 versions in each output directory, totaling 16 books.) For the first time I've gotten LaTeX layouts working, so enjoy the typesetting.
Sherlock Shuffle 3.0 - vamping on previous mutilations of Sherlock Holmes stories, this takes the logic of pos2tracery and applies it to the complete works of Sherlock Holmes.
Winkie - revamping the pos2tracery algorithm with wink.js's POS tagger, which provides a free lemmer. This identifies all tracery's English Modifiers to provide the correct endings to words. A much improved successor to Sherlock Shuffle 3.0.
Vocabularycept - while researching what a lemmer was, I ended up down a wikipedia rabbit hole and discovered Vocabularycept Poems - originally a poet alphabetized a poem and challenged readers to rearrange it into a new poem - this book is comprised of alphabetized poems, and poems re-arranged by their syllable counts to create new works, With 10 poems these books topped out around 6,000 words - at 15 poems they should be closer to 10,000.
3 works completed (There are 4 versions in each output directory, totaling 16 books.) For the first time I've gotten LaTeX layouts working, so enjoy the typesetting.
Sherlock Shuffle 3.0 - vamping on previous mutilations of Sherlock Holmes stories, this takes the logic of pos2tracery and applies it to the complete works of Sherlock Holmes.
Winkie - revamping the pos2tracery algorithm with wink.js's POS tagger, which provides a free lemmer. This identifies all tracery's English Modifiers to provide the correct endings to words. A much improved successor to Sherlock Shuffle 3.0.
Vocabularycept - while researching what a lemmer was, I ended up down a wikipedia rabbit hole and discovered Vocabularycept Poems - originally a poet alphabetized a poem and challenged readers to rearrange it into a new poem - this book is comprised of alphabetized poems, and poems re-arranged by their syllable counts to create new works, With 10 poems these books topped out around 6,000 words - at 15 poems they should be closer to 10,000.
for slightly more information, visit Issue #67
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