Neural Machine Translation Methods for Translating Text to Sign Language Glosses (2023.acl-long)
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| Challenge: | State-of-the-art techniques common to low resource Machine Translation (MT) are applied to improve MT of spoken language text to Sign Language glosses. |
| Approach: | They propose to use data augmentation, semi-supervised Neural Machine Translation, transfer learning and multilingual NMT to improve MT of spoken language to Sign Language glosses. |
| Outcome: | The proposed models outperform previous work on two German SL corpora and are confirmed by human evaluation. |
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Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting (2023.findings-eacl)
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| Challenge: | Yin et al. ( 2021) calls for including sign language processing (SLP) in natural language processing research. |
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