Work

The IIIT-H Gujarati-English Machine Translation System for WMT19

Year: 2019

Type: conference-paper

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 basedon 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

Source: Conference on Machine Translation (WMT)

DOI: 10.18653/v1/w19-5316

Authors: Vikrant Goyal, Dipti Misra Sharma

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2970397283

FWCI: 0.816

Cites: 20

Cited by: 13

Related to: 10