readme: ---
  language:
  - ko
  - en
  tags:
  - Transformer
  - korean
  - romanization
  - person name
  - 한국어
  - korean-romanization
  
  license: cc-by-nc-sa-4.0
  ---
  
  # <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.
  
  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>
  Copyright (c) 2023 CBDB
  
  Except where otherwise noted, content on this repository is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
  To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or
  send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
  