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Reverse_Dictionary

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@@ -62,3 +62,6 @@ we use 10 random words and evaluate model
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  ์ฑ… - ์ข…์ด๋ฅผ ์—ฌ๋Ÿฌ ์žฅ ๋ฌถ์–ด ๋งจ ๋ฌผ๊ฑด.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66fbf5f0795a70124f1b36ef/bnpbKj8TE8vjAEZr3mOat.png)
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  ํ•™๊ต - ์ดˆ๋“ฑํ•™์ƒ, ์ค‘ํ•™์ƒ, ๊ณ ๋“ฑํ•™์ƒ๋“ค์—๊ฒŒ ๊ต์œก์„ ์‹ค์‹œํ•˜๋Š” ๊ธฐ๊ด€
 
 
 
 
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  ์ฑ… - ์ข…์ด๋ฅผ ์—ฌ๋Ÿฌ ์žฅ ๋ฌถ์–ด ๋งจ ๋ฌผ๊ฑด.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66fbf5f0795a70124f1b36ef/bnpbKj8TE8vjAEZr3mOat.png)
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  ํ•™๊ต - ์ดˆ๋“ฑํ•™์ƒ, ์ค‘ํ•™์ƒ, ๊ณ ๋“ฑํ•™์ƒ๋“ค์—๊ฒŒ ๊ต์œก์„ ์‹ค์‹œํ•˜๋Š” ๊ธฐ๊ด€
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+
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+ It can be seen that 5 out of 10 accurately printed words.
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+ It can be seen that the remaining five words were similarly inferred.