Tom Lippincott
Director, Associate Research Professor
Dr. Lippincott received his PhD in Computational Linguistics from Cambridge University in 2015. His research focuses on computational models of the mechanisms that produce, transmit, modify, and interpret the cultural artifacts at the center of empirical humanistic scholarship.
Current projects
- Narrative time and holographic identity formation
- Disentangling mixed use of script and language in the Ottoman Empire
- Literary representations of orthographic variation in the Nineteenth Century
- Non-parametric modeling of poetic grammar: regularity and innovation in Chaucer
- Characteristic shifts in the syntax and semantics of Latin: broadening Auerbach's hypothesis-space
- OCR and topic modeling of musical scores to explore the development of minstrelsy through the Nineteenth Century
Publications and presentations
- Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models
- Detecting Structured Language Alternations in Historical Documents by Combining Language Identification with Fourier Analysis
- Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses
- Trends in fentanyl content on Reddit substance use forums, 2013-2021
- Humanities Scholarship: Brainstorming for the Future
- Ethical usage of computer science and the limits of automatic analysis
- Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade
- Active learning and negative evidence for language identification
- Applying computational techniques to traditional humanistic domains
- Translating simple historical inquiries into computation
- Primary sources, computational intelligence, and discovering connections between fields
- Graph convolutional networks for exploring authorship hypotheses
- Starcoder: a general neural ensemble technique to support traditional scholarship, illustrated with a study of the post-Atlantic slave trade