Eunjeong L. Park


2020

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Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)
Eunjeong L. Park | Masato Hagiwara | Dmitrijs Milajevs | Nelson F. Liu | Geeticka Chauhan | Liling Tan
Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

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Revisiting Round-trip Translation for Quality Estimation
Jihyung Moon | Hyunchang Cho | Eunjeong L. Park
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

Quality estimation (QE), a task of evaluating the quality of translation automatically without human-translated reference, is one of the important challenges for machine translation (MT). As the QE methods, BLEU score for round-trip translation (RTT) had been considered. However, it was found to be a poor predictor of translation quality since BLEU was not an adequate metric to detect semantic similarity between input and RTT. Recently, the pre-trained language models have made breakthroughs in many NLP tasks by providing semantically meaningful word and sentence embeddings. In this paper, we employ the semantic embeddings to RTT-based QE metric. Our method achieves the highest correlations with human judgments compared to WMT 2019 quality estimation metric task submissions. Additionally, we observe that with semantic-level metrics, RTT-based QE is robust to the choice of a backward translation system and shows consistent performance on both SMT and NMT forward translation systems.

2018

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Proceedings of Workshop for NLP Open Source Software (NLP-OSS)
Eunjeong L. Park | Masato Hagiwara | Dmitrijs Milajevs | Liling Tan
Proceedings of Workshop for NLP Open Source Software (NLP-OSS)