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Decipherment
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=== Artificial intelligence === In recent years, there has been a growing emphasis on methods utilizing [[artificial intelligence]] for the decipherment of lost languages, especially through [[natural language processing]] (NLP) methods. Proof-of-concept methods have independently re-deciphered [[Ugaritic alphabet|Ugaritic]] and [[Linear B]] using data from similar languages, in this case [[Hebrew alphabet|Hebrew]] and [[Ancient Greek]].<ref>{{Cite book |last1=Luo |first1=Jiaming |last2=Cao |first2=Yuan |last3=Barzilay |first3=Regina |title=Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics |date=2019 |chapter=Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B |language=en |publisher=Association for Computational Linguistics |pages=3146β3155 |doi=10.18653/v1/P19-1303|arxiv=1906.06718 }}</ref>
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