Brand Consistency for Multilingual E-commerce Machine Translation
Bryan Zhang, Stephan Walter, Saurabh Chetan Birari, Ozlem Eren
Abstract
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.- Anthology ID:
- 2023.mtsummit-users.17
- Volume:
- Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
- Month:
- September
- Year:
- 2023
- Address:
- Macau SAR, China
- Editors:
- Masaru Yamada, Felix do Carmo
- Venue:
- MTSummit
- SIG:
- Publisher:
- Asia-Pacific Association for Machine Translation
- Note:
- Pages:
- 173–182
- Language:
- URL:
- https://aclanthology.org/2023.mtsummit-users.17
- DOI:
- Cite (ACL):
- Bryan Zhang, Stephan Walter, Saurabh Chetan Birari, and Ozlem Eren. 2023. Brand Consistency for Multilingual E-commerce Machine Translation. In Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track, pages 173–182, Macau SAR, China. Asia-Pacific Association for Machine Translation.
- Cite (Informal):
- Brand Consistency for Multilingual E-commerce Machine Translation (Zhang et al., MTSummit 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.mtsummit-users.17.pdf