Abstract
Multilingual query localization is integral to modern e-commerce. While machine translation is widely used to translate e-commerce queries, evaluation of query translation in the context of the down-stream search task is overlooked. This study proposes a search ranking-based evaluation framework with an edit-distance based search metric to evaluate machine translation impact on cross-lingual information retrieval for e-commerce search query translation, The framework demonstrate evaluation of machine translation for e-commerce search at scale and the proposed metric is strongly associated with traditional machine translation and traditional search relevance-based metrics.- Anthology ID:
- 2022.amta-research.25
- Volume:
- Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Month:
- September
- Year:
- 2022
- Address:
- Orlando, USA
- Editors:
- Kevin Duh, Francisco Guzmán
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 322–334
- Language:
- URL:
- https://aclanthology.org/2022.amta-research.25
- DOI:
- Cite (ACL):
- Hang Zhang, Liling Tan, and Amita Misra. 2022. Evaluating Machine Translation in Cross-lingual E-Commerce Search. In Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), pages 322–334, Orlando, USA. Association for Machine Translation in the Americas.
- Cite (Informal):
- Evaluating Machine Translation in Cross-lingual E-Commerce Search (Zhang et al., AMTA 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2022.amta-research.25.pdf