18. April 2021
Presentation by Cristina Vertan and Christian Prager about ALMAH, “Annotator for the Linguistic Analysis of Maya Hieroglyphs”, a JAVA-based tool allowing the semi-automatic generation of the phonemic transliteration of Maya hieroglyphic texts and enabling multi-level annotation and linguistic analysis of Maya inscriptions. Alternative readings can be entered, two or more decipherment proposals can be worked on in parallel, and thus the hieroglyphic texts can be analysed and translated with alternative proposals. ALMAH is based on a graph-data model. It reads the data from TEI documents and saves the annotated texts into an instance of OrientDB. Written in Java, it has a friendly user-interface and will be available as open-source to the research community. In this talk we present the data model and the functionality as well as the underlying TEI scheme allowing to encode Maya hieroglyphic texts formally and semantically. Cristina Vertan (programming, data model), Sven Gronemeyer (epigraphy, linguistics, metadata [until 2020]), Nikolai Grube (epigraphy), Christian Prager (epigraphy), Elisabeth Wagner (epigraphy) contributed to the concept and development of the tool and the underlying data model starting in 2016. Between 2015 and 2018 the underlying TEI schema for Maya writing was designed and implemented by Franziska Diehr, Uwe Sikora, Martin de la Iglesia, Sven Gronemeyer, Maximilian Behnert-Brodhun, Christian Prager, Elisabeth Wagner, Katja Diederichs and Nikolai Grube.