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https://github.com/kakaobrain/jejueo

Jejueo Datasets for Machine Translation and Speech Synthesis
https://github.com/kakaobrain/jejueo

jejueo korean language machine-translation speech-synthesis

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Jejueo Datasets for Machine Translation and Speech Synthesis

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# Jejueo

This is the official repo for [Jejueo Datasets for Machine Translation and Speech Synthesis](https://arxiv.org/abs/1911.12071).

## Abstract
Jejueo was classified as critically endangered by UNESCO in 2010. Although diverse efforts to revitalize it have been made, there have
been few computational approaches. Motivated by this, we construct two new Jejueo datasets: Jejueo Interview Transcripts (JIT) and
Jejueo Single Speaker Speech (JSS). The JIT dataset is a parallel corpus containing 170k+ Jejueo-Korean sentences, and the JSS dataset
consists of 10k high-quality audio files recorded by a native Jejueo speaker and a transcript file. Subsequently, we build neural systems
of machine translation and speech synthesis using them. All resources are publicly available via our GitHub repository. We hope that
these datasets will attract interest of both language and machine learning communities.

## Datasets

* [JIT Dataset](https://www.kaggle.com/bryanpark/jit-dataset)
* [JSS Dataset](https://www.kaggle.com/bryanpark/jejueo-single-speaker-speech-dataset)

## Jejueo-Korean Machine Translation
* See the `translation` folder.

## Jejueo Speech Synthesis
* See the `speech` folder.

## Authors

[Kyubyong Park](mailto://[email protected]), Yo Joong Choe, Jiyeon Ham

Kakao Brain

## Citation
```
@inproceedings{jejueo2020,
author = {Kyubyong Park and Yo Joong Choe and Jiyeon Ham},
title = {Jejueo Datasets for Machine Translation and Speech Synthesis},
booktitle = {In Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)},
year = {2020},
}
```