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Old Age
The RGNLP Machine Translation Systems for WAT 2018
December 03, 2018 ยท Declared Dead ยท ๐ Pacific Asia Conference on Language, Information and Computation
"No code URL or promise found in abstract"
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Authors
Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu, Karan Saxena
arXiv ID
1812.00798
Category
cs.CL: Computation & Language
Citations
12
Venue
Pacific Asia Conference on Language, Information and Computation
Last Checked
5 months ago
Abstract
This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task. In our experiments, we (the RGNLP team) explore both statistical and neural methods across all language pairs. (We further present an extensive comparison of language-related problems for both the approaches in the context of low-resourced settings.) Our PBSMT models were highest score on all automatic evaluation metrics in the English into Telugu, Hindi, Bengali, Tamil portion of the shared task.
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