QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation

Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015

The paper describes the Egyptian Arabic-to-English statistical machine translation (SMT) system that the QCRI-Columbia-NYUAD (QCN) group submitted to the NIST OpenMT'2015 competition. The competition focused on informal …

Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining

We present a generative model that efficiently mines transliteration pairs in a consistent fashion in three different settings: unsupervised, semi-supervised, and supervised transliteration mining. The model interpolates…

Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021

In this paper we describe our submissions to WAT-2021 (Nakazawa et al., 2021) for English-to-Myanmar language (Burmese) task. Our team, ID: “YCC-MT1”, focused on bringing transliteration knowledge to the decoder without …

A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining

Arabic to English Person Name Transliteration using Twitter

Social media outlets are providing new opportunities for harvesting valuable resources. We present a novel approach for mining data from Twitter for the purpose of building transliteration resources and systems. Such res…