|
--- |
|
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> |
|
[](https://colab.research.google.com/drive/1CyyBvXZYNjaidOZUNGSCtVbmBganRUCn?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. |
|
|
