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- W2951815953 abstract "We incorporate morphological supervision into character language models (CLMs) via multitasking and show that this addition improves bits-per-character (BPC) performance across 24 languages, even when the morphology data and language modeling data are disjoint. Analyzing the CLMs shows that inflected words benefit more from explicitly modeling morphology than uninflected words, and that morphological supervision improves performance even as the amount of language modeling data grows. We then transfer morphological supervision across languages to improve performance in the low-resource setting." @default.
- W2951815953 created "2019-06-27" @default.
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- W2951815953 date "2019-01-01" @default.
- W2951815953 modified "2023-09-26" @default.
- W2951815953 title "Better Character Language Modeling through Morphology" @default.
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- W2951815953 doi "https://doi.org/10.18653/v1/p19-1156" @default.
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