Papers by Greg Hanneman
Impacts of Misspelled Queries on Translation and Product Search (2024.acl-long)
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| Challenge: | In end-to-end e-commerce, the inclusion of a dedicated spelling correction model, and the augmentation of that model’s training data with language-relevant phenomena, each improve robustness and consistency of search results. |
| Approach: | They first analyze the spelling-robustness of a population of machine translation systems and then apply them to a multilingual e-commerce setting to test whether spelling variations affect MT output and user behavior. |
| Outcome: | The proposed model reduces the number of BPE operations and improves spelling-robustness in six languages. |