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  BORT is a pretrained LLM that is designed to accept a mixture of English phonemes (in IPA) and orthography, made with clinical language evaluation tasks in mind. From the paper:
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- > Robert Gale, Alexandra C. Salem, Gerasimos Fergadiotis, and Steven Bedrick. 2023. **Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT).** In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP-2023), pages TBD, Online. Association for Computational Linguistics.
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  ## Acknowledgements
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  BORT is a pretrained LLM that is designed to accept a mixture of English phonemes (in IPA) and orthography, made with clinical language evaluation tasks in mind. From the paper:
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+ Robert Gale, Alexandra C. Salem, Gerasimos Fergadiotis, and Steven Bedrick. 2023. [**Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT).**](https://robertcgale.com/pub/2023-acl-bort-paper.pdf) In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP-2023), pages TBD, Online. Association for Computational Linguistics. [[paper]](https://robertcgale.com/pub/2023-acl-bort-paper.pdf) [[poster]](https://robertcgale.com/pub/2023-acl-bort-poster.pdf)
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  ## Acknowledgements
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