Ci bi mu melGis bi ci topp
Ni ñuy xamee këyitu jaxasoo ci làkk wu yomb ak IA
Aplikaasioŋ yi
GUIDE ci aplikaasioŋ yi
AI can propose restorations and linguistic alignments for scholarly analysis.
Déglul tegtal biiIA-nettali · ~2 min
Restoring missing text in a known language differs from establishing the meaning of an unknown script.
Ithaca predicts missing text and geographic and chronological attribution for ancient Greek inscriptions. It uses textual context to produce candidate restorations, which scholars assess against the inscription and historical evidence. A separate 2019 neural decipherment paper evaluates Ugaritic with Hebrew and Linear B with Greek; these are separate language-pair experiments, not translation from Ugaritic into Linear B. Its input includes a non-parallel corpus in a known related language, so it does not require aligned bilingual sentences. A character-based sequence-to-sequence model learns correspondences between cognates. Monotonic alignment regularization encourages order-preserving character mappings, while minimum-cost flow constrains the global assignment of words across vocabularies. These assumptions and benchmark results do not prove that an unrelated, insufficiently documented script has been deciphered. Scholars must test proposed readings against independent contextual and linguistic evidence.
Use Ithaca to rank candidate restorations of ancient Greek inscriptions.
Compare proposed dates and locations with historical evidence.
Study character and word correspondences using a known related language.
Preserve alternative readings for expert assessment.
AI-assisted decipherment is a research aid. Report uncertainty and avoid claiming a script has been decoded without scholarly validation.
Bulletin bu amul fayda
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
AI can propose restorations and linguistic alignments for scholarly analysis. Restoring missing text in a known language differs from establishing the meaning of an unknown script.
Ithaca dañu ko tàggat ci fukki junniy mbindu Grek ngir defar barab yu yàqu, ba noppi xam kañ lañu leen bind ak fumu leen bind, te loolu dafay jàppale taarixkat yi.
Ñu ngi ko tàggat ci mbind mu amul benn sikk, model bi dafay feexal bërëb yiñ maskeer ci di wax luy waaja am ci araf yi, lu melni autocomplete, ba noppi di joxe kàndidaa yiñ tànn.
The paper regularizes cognate alignment toward monotonic rewriting as a linguistic modeling assumption. It is not a universal law for all language change.
Su gëstukat yi boole làkk wi ñu xamul ci làkk wi ñu jàpp ni mooy làkk wiñ xam, ba noppi ñu xool ndax amna kàddu yu dëggu yu feeñ, dina ñu mëna saytu limu lëkkaloo, ni ñu ko defee ci Ougarit ak Hebreu.
Script yi dañu leen di jàppee ni mbind yu toppalante; model bi dafay jàng ban màndarga moo bëgga topp ban, loolu mooy tax ñu mëna defaraat ak gis motif yi.
Weyal di jàng
Tann nañu yeneen njiit ngir topic bii
Ci bi mu melGis bi ci topp
Ni ñuy xamee këyitu jaxasoo ci làkk wu yomb ak IA
Aplikaasioŋ yi