Joint translation and unit conversion for end-to-end localization

04/10/2020 ∙ by Georgiana Dinu, et al. ∙ 0

A variety of natural language tasks require processing of textual data which contains a mix of natural language and formal languages such as mathematical expressions. In this paper, we take unit conversions as an example and propose a data augmentation technique which leads to models learning both translation and conversion tasks as well as how to adequately switch between them for end-to-end localization.

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