Paper Info
Title
The IIIT-H Gujarati-English Machine Translation system for WMT19
Abstract
This paper describes the Neural Machine Translation system of IIIT-Hyderabad for the Gujarati -> English news translation shared task of WMT19. Our system is based on encoder-decoder framework with attention mechanism. We experimented with Multilingual Neural MT models. Our experiments show that Multilingual Neural Machine Translation leveraging parallel data from related language pairs helps in significant BLEU improvements upto 11.5, for low resource language pairs like Gujarati-English.
Year
DOI
Venue
2019
10.18653/v1/w19-5316
FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Vikrant Goyal100.68
Dipti Misra Sharma226245.90