DatasetsUnread cuneiform: half a million tablets and the limits of SumerianAkkademia: ORACC Akkadian training corpora (RINAP, RIAo, RIBo, SAAo, Suhu) in JSON and TEI
Akkademia: ORACC Akkadian training corpora (RINAP, RIAo, RIBo, SAAo, Suhu) in JSON and TEI
The parallel Akkadian-English data behind the 2023 PNAS Nexus machine-translation paper: five ORACC corpora (8,056 tablets, 56,160 sentences), with trained HMM, MEMM and BiLSTM transliteration models and a pip-installable package.
Used by
0methods
0runs, with their results
1research session, S-001