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Adding "SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation" and some eval metrics discussion - #77
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AmitMY merged 23 commits intoJun 21, 2024
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All right, I think we're about ready for review: https://chatgpt.com/share/2a913f6c-e344-4a00-86ab-357bbae6ec8d is the conversation with ChatGPT and revisions of the summary. Took some, discarded others Questions:
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cleong110
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June 14, 2024 20:23
cleong110
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AmitMY
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AmitMY
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Jun 19, 2024
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Added some more detail on pose output metrics, and some citations for APE |
cleong110
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Jun 20, 2024
| Naively, works in this domain have used metrics such as mean squared error (MSE) or Average Position Error (APE) for pose outputs [ahuja2019Language2PoseNaturalLanguage;ghosh2021SynthesisCompositionalAnimations;petrovich2022TEMOSGeneratingDiverse]. | ||
| However, these metrics have significant limitations for Sign Language Production. | ||
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| For example, MSE and APE do not account for variations in sequence length, for cases where where the same sign might take different amounts of time to produce. |
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where where
"different amounts of time" sounds strange to me
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How about:
For example, MSE and APE do not account for variations in sequence length.
The same sign may not always take exactly the same amount of time to produce.
Or various options here: https://chatgpt.com/share/e4e5cde3-fccf-4e40-ab2f-5b210db6cf6f
AmitMY
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Jun 21, 2024
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cleong110#21 details and checklist