Papers by Maximus Shengelia
Reconsidering Sentence-Level Sign Language Translation (2024.emnlp-main)
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| Challenge: | Historically, sign language machine translation is framed as a sentence-level task . however, there are known intersentential dependencies that are impossible to resolve in isolation. |
| Approach: | They propose a human baseline for sign language translation that substitutes a person into the machine learning task framing instead of providing the entire document as context. |
| Outcome: | The proposed human baseline for sign language translation shows that deaf signers can only understand key parts of the clip in light of additional discourse-level context. |