Wisdom in 4 Characters Or Less

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Purpose

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A project to generate 四字熟語 (yoji-jukugo, 4 character Japanese idioms), using a sequential tensorflow model.

Dataset

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The dataset used for the current project was scraped/pulled from the following:

• Yojijukugo for idioms and meanings/readings
• Jamdict for kanji readings, meanings, and other information
• Kanji Database for kanji classification, grade level, and misc characteristics

Outputs

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• The main report, compiled with datapane and also in html format
• The full yoji_df dataframe describing the idioms, their constituent kanji, and all additional characteristics from the data linked above
• List of generated idioms, sans definitions and readings
• The same list, expanded out to a dataframe including readings and meanings of constituent characters and bigrams

Update!

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• After sharing the initial project with some coworkers, it was suggested (by @DC & @JZ) that I retrain the model on bigrams within each idiom, as this more closely aligns with how yoji-jukugo are semantically divided and understood. I’ve updated the report linked above with some additional thoughts on the new model and its results!