Search Results for author: Hyunchang Cho

Found 5 papers, 1 papers with code

Papago’s Submissions to the WMT21 Triangular Translation Task

no code implementations WMT (EMNLP) 2021 Jeonghyeok Park, Hyunjoong Kim, Hyunchang Cho

The provided parallel data are Russian-Chinese (direct), Russian-English (indirect), and English-Chinese (indirect) data.

Re-Ranking Translation

DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation

no code implementations Findings (ACL) 2022 Cheonbok Park, Hantae Kim, Ioan Calapodescu, Hyunchang Cho, Vassilina Nikoulina

Domain Adaptation (DA) of Neural Machine Translation (NMT) model often relies on a pre-trained general NMT model which is adapted to the new domain on a sample of in-domain parallel data.

Domain Adaptation Machine Translation +2

Kosp2e: Korean Speech to English Translation Corpus

1 code implementation6 Jul 2021 Won Ik Cho, Seok Min Kim, Hyunchang Cho, Nam Soo Kim

Most speech-to-text (S2T) translation studies use English speech as a source, which makes it difficult for non-English speakers to take advantage of the S2T technologies.

speech-recognition Speech Recognition +1

Revisiting Round-Trip Translation for Quality Estimation

no code implementations EAMT 2020 Jihyung Moon, Hyunchang Cho, Eunjeong L. Park

Quality estimation (QE) is the task of automatically evaluating the quality of translations without human-translated references.

NMT Sentence +2

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