Ozlem Eren


2023

pdf
Brand Consistency for Multilingual E-commerce Machine Translation
Bryan Zhang | Stephan Walter | Saurabh Chetan Birari | Ozlem Eren
Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track

In the realm of e-commerce, it is crucial to ensure consistent localization of brand terms in product information translations. With the ever-evolving e-commerce landscape, new brands and their localized versions are consistently emerging. However, these diverse brand forms and aliases present a significant challenge in machine translation (MT). This study investigates MT brand consistency problem in multilingual e-commerce and proposes practical and sustainable solutions to maintain brand consistency in various scenarios within the e-commerce industry. Through experimentation and analysis of an English-Arabic MT system, we demonstrate the effectiveness of our proposed solutions.