Joris Vanvinckenroye

2 accepted papers

2022

Detecting Various Types of Noise for Neural Machine Translation

Christian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney

ACL 2022findings

The filtering and/or selection of training data is one of the core aspects to be considered when building a strong machine translation system. In their influential work, Khayrallah and Koehn (2018) investigated the impact of different types of noise on the performance of machine translation systems.…

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2021

Data Filtering using Cross-Lingual Word Embeddings

Christian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney

NAACL 2021long

Data filtering for machine translation (MT) describes the task of selecting a subset of a given, possibly noisy corpus with the aim to maximize the performance of an MT system trained on this selected data. Over the years, many different filtering approaches have been proposed. However, varying task…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗