22 citations · 24 across the 3 of their papers we have counts for
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cs.CL2022
CJaFr-v3 : A Freely Available Filtered Japanese-French Aligned Corpus
Raoul Blin, Fabien Cromières
We present a free Japanese-French parallel corpus. It includes 15M aligned segments and is obtained by compiling and filtering several existing resources. In this paper, we describ…
cs.CL2020★ 2 cited
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
Zhuoyuan Mao, Fabien Cromieres, Raj Dabre +2
Neural machine translation (NMT) needs large parallel corpora for state-of-the-art translation quality. Low-resource NMT is typically addressed by transfer learning which leverages…
cs.CL2017★ 22 cited
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages
Raj Dabre, Fabien Cromieres, Sadao Kurohashi
In this paper, we explore a simple solution to "Multi-Source Neural Machine Translation" (MSNMT) which only relies on preprocessing a N-way multilingual corpus without modifying th…