A Study of Transliteration Approaches

In the present era, text generated by users is becoming increasingly popular on the Internet. People rely on search engines for their information. The transliterated text is one of the major concerns to search the relevant information for a user query. There is a corresponding effort to handle transliterated text in order to take advantage of this huge knowledge source. In this paper we review the most recent findings in the domain of transliteration. Firstly, start with an introduction to transliteration and its challenges, then outline several transliteration methods and discuss new research efforts in information search for transliterated text. In this study, the authors present various approaches/techniques, algorithms, and evaluation approaches of previous studies, identify some important issues in machine transliteration approaches/models, and provide future guidance for researchers in this field.