Machine transliteration, as defined in this paper, is a process of automatically transforming
written script of words from a source alphabet into words of another target alphabet within …

This report presents the results from the Named Entity Transliteration Shared Task
conducted as part of The Seventh Named Entities Workshop (NEWS 2018) held at ACL …

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

Cognate Projection for Low-Resource Inflection Generation Page 1 Proceedings of the 16th
Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 6–11 …

In this paper, we introduce a data-driven approach to transliterating Uzbek dictionary words
from the Cyrillic script into the Latin script, and vice versa. We heuristically align characters …

Many character-level tasks can be framed as sequence-to-sequence transduction, where
the target is a word from a natural language. We show that leveraging target language …

This paper presents PolyIPA, a novel multilingual phoneme-to-grapheme conversion model
designed for multilingual name transliteration, onomastic research, and information retrieval …

Abstract “机器音译是基于语音相似性自动将文本从一种语言转换为另一种语言的过程,
它是机器翻译的一个子任务, 侧重于语音信息的翻译. 音译后可知道源单词在另一种语言中的 …

Data size is vital for neural transliteration. But getting lots of transliteration pairs is difficult,
especially for low-resource languages. So how much data is sufficient for an often-used …

The recognition and translation of organization names (ONs) is challenging due to the
complex structures and high variability involved. ONs consist not only of common generic …