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Quick question: what’s Liberman&Prince? Assuming it’s generative metrics of some kind but I’m only familiar with Halle, Keyser, Kiparsky

Asking because I’ve never understood how the tree diagrams work—always seems like a judgement call to select stress maxima

It's from their brilliant paper here, "On Stress and Linguistic Rhythm" (1975): www.jstor.org/stable/pdf/4... They argue stress is relational all the way down, syntax to syllable, and demonstrate it pretty convincingly.

2. LLTK (DH corpus management), 2016– Overhauled from the ground up: 60+ literary corpora, ClickHouse backend for 2.8M texts, web explorer, cross-corpus dedup/matching, human+LLM annotation layer. Feeds into my book project and other DH work. lltk.net github.com/quadrismegis...

3. Large Literary Models (LLM annotation tasks for DH), 2026– New project: structured data extraction from texts via LLMs. 23 tasks built in: genre tagging, character networks, emotion analysis, etc. Runs on frontier or local models. Enforces schema, caches via HashStash. github.com/quadrismegis...

4. Malign Logits (psychoanalysing LLMs), 2025– Scaled from 1 to 47 model families (360M–70B). Token-tree census, beam search, displacement taxonomy, logit lens, cloud generation (141k passages). Found displacement (e.g. kill->scream) is independent of model architecture. github.com/quadrismegis...