<font color="IndianRed"> Kraft (Korean Romanization From Transformer) </font>

The Kraft (Korean Romanization From Transformer) model translates the characters (Hangul) of a Korean person name into the Roman alphabet (McCune–Reischauer system). 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.

Translating a Korean name into an English romanization is a type of machine translation task, where the input is a sequence of characters representing a Korean name, and the output is a sequence of characters representing the English romanization of that name. The Transformer model, with its attention mechanism and ability to handle input sequences of varying lengths, is well-suited to this type of task, and is able to accurately translate Korean names to English romanization.

<font color="IndianRed"> Model description </font>

The transformer model has an encoder and a decoder, in which the encoder takes a sentence in the source language and the decoder outputs it into the target language.

<font color="IndianRed"> Intended uses & limitations </font>

Note that this model primarily aims at translating Korean names into English romanization.

<font color="IndianRed"> Authors </font>

<a href="https://www.w3.org/">Queenie Luo</a> <br> <a href="https://www.iq.harvard.edu/people/yafei-chen">Yafei Chen</a> <br> <a href="https://github.com/sudoghut">Hongsu Wang</a> <br> <a href="https://ealc.fas.harvard.edu/people/kanghun-ahn">Kanghun Ahn</a> <br> <a href="https://ealc.fas.harvard.edu/people/sun-joo-kim">Sun Joo Kim</a> <br> <a href="https://ealc.fas.harvard.edu/people/peter-k-bol">Peter Bol</a> <br> <a href="https://projects.iq.harvard.edu/cbdb/home">CBDB Group</a>

<font color="IndianRed"> Acknowledgement </font>

<a href="https://library.harvard.edu/staff/mikyung-kang">Mikyung Kang</a> <br> <a href="https://library.princeton.edu/staff/hyoungl">Hyoungbae Lee</a> <br> Shirley Boya Ouyang

<font color="IndianRed"> License </font>

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