4 citations · 5 across the 3 of their papers we have counts for
3 papers
Word-based Domain Adaptation for Neural Machine Translation
Shen Yan, Leonard Dahlmann, Pavel Petrushkov +2
In this paper, we empirically investigate applying word-level weights to adapt neural machine translation to e-commerce domains, where small e-commerce datasets and large out-of-do…
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov +1
In this paper, we introduce a hybrid search for attention-based neural machine translation (NMT). A target phrase learned with statistical MT models extends a hypothesis in the NMT…
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation
Shahram Khadivi, Patrick Wilken, Leonard Dahlmann +1
In this paper, we discuss different methods which use meta information and richer context that may accompany source language input to improve machine translation quality. We focus…