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Aspects of Terminological and Named Entity Knowledge within Rule-Based
  Machine Translation Models for Under-Resourced Neural Machine Translation
  Scenarios

Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios

28 September 2020
Daniel Torregrosa
Nivranshu Pasricha
Maraim Masoud
Bharathi Raja Chakravarthi
J. Alonso
Noe Casas
Mihael Arcan
ArXivPDFHTML

Papers citing "Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios"

2 / 2 papers shown
Title
DEEP: DEnoising Entity Pre-training for Neural Machine Translation
DEEP: DEnoising Entity Pre-training for Neural Machine Translation
Junjie Hu
Hiroaki Hayashi
Kyunghyun Cho
Graham Neubig
AI4CE
27
21
0
14 Nov 2021
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
273
1,896
0
10 Jan 2017
1