77 citations · 319 across the 61 of their papers we have counts for
4 papers · 1 filter
Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
Raj Dabre, Atsushi Fujita
This paper proposes a novel procedure for training an encoder-decoder based deep neural network which compresses NxM models into a single model enabling us to dynamically choose th…
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
Aizhan Imankulova, Raj Dabre, Atsushi Fujita +1
This paper proposes a novel multilingual multistage fine-tuning approach for low-resource neural machine translation (NMT), taking a challenging Japanese--Russian pair for benchmar…
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation
Chenhui Chu, Raj Dabre
In this paper, we propose two novel methods for domain adaptation for the attention-only neural machine translation (NMT) model, i.e., the Transformer. Our methods focus on trainin…
A Brief Survey of Multilingual Neural Machine Translation
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in the recent years. MNMT has been useful in improving translation quality…