Learning cross-lingual phonological and orthagraphic adaptations: a case
study in improving neural machine translation between low-resource languages

v1v2 (latest)

Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages

21 November 2018

Anil Kumar Singh

ArXiv (abs)PDF HTML

Papers citing "Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages"

8 / 8 papers shown

Title
Training Tips for the Transformer Model Martin Popel Ondrej Bojar 70 311 0 01 Apr 2018
Neural Machine Translation with Reconstruction Zhaopeng Tu Yang Liu Lifeng Shang Xiaohua Liu Hang Li 91 205 0 07 Nov 2016
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,978 0 15 Jul 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 282 11,150 0 14 Mar 2016
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 228 7,755 0 31 Aug 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 405 7,968 0 17 Aug 2015
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 163 6,630 0 22 Dec 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 457 7,667 0 03 Jul 2012

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.