Statistical Machine Transliteration Baselines for NEWS 2018
Snigdha Singhania, Minh Nguyen, Gia H. Ngo, Nancy F. Chen · 2018
This paper reports the results of our transliteration experiments conducted on NEWS 2018 Shared Task dataset.We focus on creating the baseline systems trained using two open-source, statistical transliteration tools, namely Sequitur and Moses.We discuss the pre-processing steps performed on this dataset for both the systems.We also provide a re-ranking system which uses top hypotheses from Sequitur and Moses to create a consolidated list of transliterations.The results obtained from each of these models can be used to present a good starting point for the participating teams.