Explore words
Old Persian cuneiform dictionary
Find words, readings and meanings, then follow dictionary entries to their attestations in inscriptions.
Language, history and artificial intelligence
The First Old Persian Cuneiform Knowledge Graph
The first integrated knowledge base for Old Persian cuneiform and Iranian artificial intelligence, in scientific collaboration with Goethe University Frankfurt
From a sign to a word. From a word to the story of an inscription.
Connected knowledgeResource navigation map
Select a resource to begin exploring.
Choose your path
Six ways into Old Persian
Every tool and resource, with direct access to both Persian and English pages.
Try the writing tool
Old Persian cuneiform converter
Enter a name, word or phrase to see its cuneiform rendering alongside an explanation of how it was matched.
Read in context
Old Persian inscription corpus
Read inscriptions line by line and explore their text, transliteration, translation and word attestations in context.
Understand the script
Old Persian cuneiform signs
Discover phonetic signs, logograms and the word divider, with readings, character codes and occurrences.
Compose numerals
Old Persian numerals
Explore numerical signs, compose numeral sequences and copy the result into your own writing.
Trace the sources
Data methodology and sources
Learn about sources, permissions and data preparation, and distinguish source text, machine analysis and human review.
Technology serving language
Iranian AI for Iranian heritage
Two purpose-built AI systems with complementary roles in analysis and access.
Cognitive and linguistic analysis
Zal
Purpose-built artificial intelligence for cognitive and linguistic analysis of Old Persian data.
Audio access
Haman Ava
Purpose-built artificial intelligence for audio access and listening to the readings provided in this collection.
Research and development
Scientific collaboration, documented sources
Developed by the knowledge-based company Arya Haman Mehr Parseh, using its proprietary AI systems “Zal” for cognitive and linguistic analysis and “Haman Ava” for audio access; with authorized use of data from the TITUS Old Persian corpus, and with thanks to Professor Jost Gippert, the TITUS project, its contributors and Goethe University Frankfurt
Read the methodology and data sources