I am a Ph.D. candidate in Computer Science at the University of Southern California (USC). My advisor is Professor Jonathan May at the Information Science Institute in Marina del Rey. My research interests include natural language processing, machine learning, decipherment and machine translation.
Prior to joining the Ph.D. program, I obtained my M.S. in Computer Science at USC. My thesis was on the decipherment of historical manuscripts, advised by Professor Kevin Knight.


Can Sequence-to-Sequence Models Crack Substitution Ciphers?
Nada Aldarrab and Jonathan May. ACL 2021.
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Decipherment of Historical Manuscript Images.
Xusen Yin, Nada Aldarrab, Beáta Megyesi, and Kevin Knight. ICDAR 2019.
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Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation.
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, and Jonathan May. ACL 2019.
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Decipherment of Historical Manuscripts.
Nada Aldarrab. Master's Thesis, University of Southern California, 2017.
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The Borg.lat.898 Cipher, 2016.
(part of the DECODE project: Automatic Decryption of Historical Manuscripts).
Low Resource Languages for Emergent Incidents (LORELEI), 2017.