Adam Anderson
2024
Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
John Pavlopoulos
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Thea Sommerschield
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Yannis Assael
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Shai Gordin
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Kyunghyun Cho
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Marco Passarotti
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Rachele Sprugnoli
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Yudong Liu
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Bin Li
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Adam Anderson
Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
UD-ETCSUX: Toward a Better Understanding of Sumerian Syntax
Kenan Jiang
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Adam Anderson
Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
Beginning with the discovery of the cuneiform writing system in 1835, there have been numerous grammars published illustrating the complexities of the Sumerian language. However, the one thing they have in common is their omission of dependency rules for syntax in Sumerian linguistics. For this reason we are working toward a better understanding of Sumerian syntax, by means of dependency-grammar in the Universal Dependencies (UD) framework. Therefore, in this study we articulate the methods and engineering techniques that can address the hardships in annotating dependency relationships in the Sumerian texts in transliteration from the Electronic Text Corpora of Sumerian (ETCSUX). Our code can be found at https://github.com/ancient-world-citation-analysis/UD-ETCSUX.
2023
Proceedings of the Ancient Language Processing Workshop
Adam Anderson
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Shai Gordin
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Bin Li
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Yudong Liu
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Marco C. Passarotti
Proceedings of the Ancient Language Processing Workshop
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Co-authors
- Shai Gordin 2
- Yudong Liu 2
- Bin Li 2
- John Pavlopoulos 1
- Thea Sommerschield 1
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