cbdb
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korean-person-name-romanization-transformer

korean-romanization

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cbdb commited on Jan 28, 2023

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 license: cc-by-nc-sa-4.0
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-# <font color="IndianRed"> BertForSequenceClassification model (Classical Chinese) </font>
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1aIGvyvqRdHv7QTRahhD1sf8L6yV39kxc?usp=sharing/)
 The Kraft (Korean Romanization From Transformer) model translates the characters (Hangul) of a Korean person name into the Roman alphabet ([McCune–Reischauer system](https://en.wikipedia.org/wiki/McCune%E2%80%93Reischauer)). Kraft uses the Transformer architecture, which is a type of neural network architecture that was introduced in the 2017 paper "Attention Is All You Need" by Google researchers. It is designed for sequence-to-sequence tasks, such as machine translation, language modeling, and summarization.

 license: cc-by-nc-sa-4.0
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+# <font color="IndianRed"> Kraft (Korean Romanization From Transformer) </font>
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1aIGvyvqRdHv7QTRahhD1sf8L6yV39kxc?usp=sharing/)
 The Kraft (Korean Romanization From Transformer) model translates the characters (Hangul) of a Korean person name into the Roman alphabet ([McCune–Reischauer system](https://en.wikipedia.org/wiki/McCune%E2%80%93Reischauer)). Kraft uses the Transformer architecture, which is a type of neural network architecture that was introduced in the 2017 paper "Attention Is All You Need" by Google researchers. It is designed for sequence-to-sequence tasks, such as machine translation, language modeling, and summarization.