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tags: |
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- pytorch |
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Checkpoints accompanying the LREC-COLING 2024 paper "Improved Neural Protoform Reconstruction via Reflex Prediction". For more detail, see our [repository](https://github.com/cmu-llab/reranked-reconstruction). |
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Paper: https://arxiv.org/abs/2403.18769 |
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Directory structure: `dataset/task/architecture/run` where: |
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- dataset is one of `chinese_wikihan2022` (WikiHan), `chinese_wikihan2022_augmented` (WikiHan-aug), `baxter` (Hóu), `Nromance_ipa` (Rom-phon), or `Nromance_orto` (Rom-orth) |
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- task is either reflex prediction (`p2d`) or reconstruction (`d2p`) |
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- architecture is one of `GRU` (baseline in `p2d`, Meloni et al (2021)'s GRU in `d2p`), `JambuGRU` (Arora et al. (2023)'s GRU), `JambuTransformer` (Arora et al. (2023)'s Transformer), `Transformer` (Kim et al. (2023)'s Transformer), or `GRU-BS` (Meloni et al (2021)'s GRU with beam search) |
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- run is a unique identifier for a specific run |
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