@inproceedings{noeman2010language,
author = {Noeman, Sara and Madkour, Amgad},
title = {Language independent Transliteration mining system using Finite State Automata framework},
booktitle = {ACL NEWS},
year = {2010},
month = {May},
abstract = {We propose a Named Entities transliteration mining system using Finite State Automata (FSA). We compare the proposed approach with a baseline system that utilizes the Editex technique to measure the length-normalized phonetic based edit distance between the two words. We submitted three standard runs in NEWS2010 shared task and ranked first for English to Arabic (WM-EnAr) and obtained an Fmeasure of 0.915, 0.903, and 0.874 respectively.},
url = {http://approjects.co.za/?big=en-us/research/publication/language-independent-transliteration-mining-system-using-finite-state-automata-framework/},
}