Papers by Yo Joong Choe

3 papers
Jejueo Datasets for Machine Translation and Speech Synthesis (2020.lrec-1)

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Challenge: Jejueo, or the Jeju language, is a minority language used on Jeju Island . there have been many efforts to revitalize the language, but few computational approaches have been used to solve its problems.
Approach: They construct two new Jejueo datasets using interviews and transcripts . they build machine translation and speech synthesis using these datasets based on their results .
Outcome: The proposed datasets will attract interest of both language and machine learning communities.
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding (2020.findings-emnlp)

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Challenge: Existing benchmark datasets for natural language inference and semantic textual similarity (STS) are not available in the Korean language.
Approach: They construct and release new datasets for Korean NLI and STS . they machine-translate existing English training sets and manually translate development and test sets into Korean to accelerate research on Korean NLU.
Outcome: The proposed datasets are available at https://github.com/kakaobrain/KorNLUDatasets.
word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs (2020.lrec-1)

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Challenge: Our dataset provides top-k word translations in 3,564 (directed) language pairs across 62 languages in OpenSubtitles2018.
Approach: They propose a dataset and an open-source Python package for cross-lingual word translations extracted from sentence-level parallel corpora.
Outcome: The proposed bilingual lexicons have high coverage and achieve competitive translation quality for several language pairs.

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