Papers by Daisy Rosenblum
Lexically Aware Semi-Supervised Learning for OCR Post-Correction (2021.tacl-1)
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| Challenge: | Existing methods for digitizing text in endangered languages rely on manual data curated by the user. |
| Approach: | They propose a semi-supervised learning method that utilizes raw images to improve performance. |
| Outcome: | The proposed method reduces errors by 15%–29% on four endangered languages. |
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software (2020.coling-main)
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Roland Kuhn, Fineen Davis, Alain Désilets, Eric Joanis, Anna Kazantseva, Rebecca Knowles, Patrick Littell, Delaney Lothian, Aidan Pine, Caroline Running Wolf, Eddie Santos, Darlene Stewart, Gilles Boulianne, Vishwa Gupta, Brian Maracle Owennatékha, Akwiratékha’ Martin, Christopher Cox, Marie-Odile Junker, Olivia Sammons, Delasie Torkornoo, Nathan Thanyehténhas Brinklow, Sara Child, Benoît Farley, David Huggins-Daines, Daisy Rosenblum, Heather Souter
| Challenge: | This paper describes the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in preserving their languages and extending their use. |
| Approach: | They describe the first phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in preserving their languages. |
| Outcome: | The proposed software will help Indigenous communities preserve and revitalize their languages and extend their use. |