Abstract
The present paper enumerates the development of Panlingua-KMI Machine Translation (MT) systems for Hindi #8596; Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared Task. The Panlingua-KMI team conducted a series of experiments to explore both the phrase-based statistical (PBSMT) and neural methods (NMT). Among the 11 MT systems prepared under this task, 6 PBSMT systems were prepared for Nepali-Hindi, 1 PBSMT for Hindi-Nepali and 2 NMT systems were developed for Nepali #8596;Hindi. The results show that PBSMT could be an effective method for developing MT systems for closely-related languages. Our Hindi-Nepali PBSMT system was ranked 2nd among the 13 systems submitted for the pair and our Nepali-Hindi PBSMTsystem was ranked 4th among the 12 systems submitted for the task.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2) |
| Place of Publication | Florence, Italy |
| Publication status | Published - 1 Aug 2019 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Ojha, Atul Kr.; Kumar, Ritesh; Bansal, Akanksha and Rani, Priya