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Moshe Lavee
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2020 – today
- 2023
- [j2]Shlomo Tannor, Nachum Dershowitz, Moshe Lavee:
Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material. J. Data Min. Digit. Humanit. 2023 (2023) - [c4]Inna Kizhner, Yael Netzer, Daniil Skorinkin, Melissa Terras, Moshe Lavee:
Observing semantic change in the representation of ethnic minorities through distant reading of museum catalogues. DH 2023 - [c3]Samuel Londner, Yoav Phillips, Hadar Miller, Nachum Dershowitz, Tsvi Kuflik, Moshe Lavee:
Linguistic Knowledge Within Handwritten Text Recognition Models: A Real-World Case Study. ICDAR (4) 2023: 147-164 - 2022
- [j1]Alan J. Wecker, Vered Raziel-Kretzmer, Benjamin Kiessling, Daniel Stökl Ben Ezra, Moshe Lavee, Tsvi Kuflik, Dror Elovits, Moshe Schorr, Uri Schor, Pawel Jablonski:
Tikkoun Sofrim: Making Ancient Manuscripts Digitally Accessible: The Case of Midrash Tanhuma. ACM Journal on Computing and Cultural Heritage 15(2): 20:1-20:20 (2022) - [i1]Shlomo Tannor, Nachum Dershowitz, Moshe Lavee:
Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material. CoRR abs/2211.09710 (2022) - 2020
- [c2]Alan J. Wecker, Uri Schor, Vered Raziel-Kretzmer, Dror Elovits, Moshe Lavee, Tsvi Kuflik, Daniel Stoekl Ben Ezra:
Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition. UMAP (Adjunct Publication) 2020: 373-375
2010 – 2019
- 2019
- [c1]Alan J. Wecker, Uri Schor, Dror Elovits, Daniel Stoekl Ben Ezra, Tsvi Kuflik, Moshe Lavee, Vered Raziel-Kretzmer, Avigail Ohali, Lily Signoret:
Tikkoun Sofrim: A WebApp for Personalization and Adaptation of Crowdsourcing Transcriptions. UMAP (Adjunct Publication) 2019: 109-110
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