Machine transliteration is the process of automatically transforming the script of a word from
a source language to a target language, while preserving pronunciation. The development …

Accessing information because of language barriers has grown more crucial as
globalization accelerates. The field of study called machine transliteration transforms words …

We present a method to transliterate names in the framework of end-to-end statistical
machine translation. The system is trained to learn when to transliterate. For Arabic to …

While most transliteration research is focused on single tokens such as named entities—for
example, transliteration of from the Gujarati script to the Latin script “Ahmedabad” …

Code-switching is a commonly occurring phenomenon in many multilingual communities,
wherein a speaker switches between languages within a single utterance. Conventional …

Transliterating named entities from one language into another can be approached as neural
machine translation (NMT) problem, for which we use deep attentional RNN encoder …

This report documents the details of the Machine Transliteration Shared Task conducted as
a part of the Named Entities Workshop (NEWS), an ACL-IJCNLP 2009 workshop. The …

We present a novel approach to integrate transliteration into Hindi-to-Urdu statistical
machine translation. We propose two probabilistic models, based on conditional and joint …