Comparison of Assorted Models for Transliteration
2018-07-01WS 2018Unverified0· sign in to hype
Saeed Najafi, Bradley Hauer, Rashed Rubby Riyadh, Leyuan Yu, Grzegorz Kondrak
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
We report the results of our experiments in the context of the NEWS 2018 Shared Task on Transliteration. We focus on the comparison of several diverse systems, including three neural MT models. A combination of discriminative, generative, and neural models obtains the best results on the development sets. We also put forward ideas for improving the shared task.