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- W3015438181 abstract "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." @default.
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- W3015438181 date "2020-04-10" @default.
- W3015438181 modified "2023-09-27" @default.
- W3015438181 title "Joint translation and unit conversion for end-to-end localization" @default.
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