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ARCHAEOLOGISTS USE ARTIFICIAL INTELLIGENCE (AI) TO TRANSLATE 5,000-YEAR-OLD CUNEIFORM TABLETS
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The goal of the neural machine translation (NMT) into English from Akkadian is to be part of a human–machine collaboration, by creating a pipeline that assists the scholar or student of the ancient language.
Currently, the NMT model is available on an online notebook and the source code has been made available on GitHub at Akkademia. The researchers are currently developing an online application called the Babylonian Engine.
1. #Archaeology
2. #AncientCivilizations
3. #CuneiformTablets
4. #ArtificialIntelligence
5. #AIinArchaeology
6. #TranslationTechnology
7. #HistoricalLinguistics
8. #AncientLanguages
9. #DigitalArchaeology
10. #CulturalHeritage
11. #LanguageDecoding
12. #AncientTexts
13. #DigitalHumanities
14. #AIAdvancements
15. #HeritagePreservation
Currently, the NMT model is available on an online notebook and the source code has been made available on GitHub at Akkademia. The researchers are currently developing an online application called the Babylonian Engine.
1. #Archaeology
2. #AncientCivilizations
3. #CuneiformTablets
4. #ArtificialIntelligence
5. #AIinArchaeology
6. #TranslationTechnology
7. #HistoricalLinguistics
8. #AncientLanguages
9. #DigitalArchaeology
10. #CulturalHeritage
11. #LanguageDecoding
12. #AncientTexts
13. #DigitalHumanities
14. #AIAdvancements
15. #HeritagePreservation
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