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TabletCraft represents a significant advancement in low-resource NLP by enabling bidirectional translation between modern English and Akkadian, allowing users to actively compose content rather than just consuming it. The system leverages ByT5 models trained on 116K samples alongside specialized rendering tools to bridge the gap for over half a million surviving cuneiform tablets. This work demonstrates how machine learning can democratize access to ancient writing systems previously restricted to scholars.
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TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform Rendering

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2608.02609v1 Announce Type: new Abstract: Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed. Prior work enables one-way, scholar-oriented translation from Akkadian to English, but offers no path in the reverse direction: non-specialist users cannot compose new content in cuneiform, and therefore remain passive consumers of ancient culture rather than active participants. We present TabletCraft, the first open-source system that enables bidirectional interaction with Mesopotamian writing. Users can read ancient tablets (Akkadian to English) and compose new messages as cuneiform clay tablets (English to Akkadian to cuneiform to rendered tablet). The system integrates a ByT5-based translation model trained on 116K bidirectional samples, a cuneiform sign converter with 14,240 mappings (95.3% coverage), and a visual tablet renderer, packaged as a pip-installable toolkit with CLI and web demo. On the held-out Akkademia validation split (2,812 samples), we report 49.1 BLEU for Akkadian-to-English and 48.5 BLEU for English-to-Akkadian, the first published quantitative result in the reverse direction.

Abstract:Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed. Prior work enables one-way, scholar-oriented translation from Akkadian to English, but offers no path in the reverse direction: non-specialist users cannot compose new content in cuneiform, and therefore remain passive consumers of ancient culture rather than active participants. We present TabletCraft, the first open-source system that enables bidirectional interaction with Mesopotamian writing. Users can read ancient tablets (Akkadian to English) and compose new messages as cuneiform clay tablets (English to Akkadian to cuneiform to rendered tablet). The system integrates a ByT5-based translation model trained on 116K bidirectional samples, a cuneiform sign converter with 14,240 mappings (95.3% coverage), and a visual tablet renderer, packaged as a pip-installable toolkit with CLI and web demo. On the held-out Akkademia validation split (2,812 samples), we report 49.1 BLEU for Akkadian-to-English and 48.5 BLEU for English-to-Akkadian, the first published quantitative result in the reverse direction.

5 pages, 1 figure. Accepted to C3NLP @ ACL 2026

Computation and Language (cs.CL); Machine Learning (cs.LG)

arXiv:2608.02609 [cs.CL]

(or arXiv:2608.02609v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2608.02609 Focus to learn more arXiv-issued DOI via DataCite

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