Forensic instruments for the working scholar — tools that do what no single mind can.
The Hidden Reader is a forensic textual analysis tool designed to recover lost authorial identities. It operates on a single foundational principle: identity is not stored in content but in structure, and structure survives. A lost Ciceronian text, paraphrased by a ninth-century monk without attribution, leaves behind morphosyntactic fossils, rhythmic cadences, rhetorical fingerprints, and patterns of conceptual association that no amount of rewriting can entirely suppress. These are the seams — the places where the ghost of the original bleeds through the host. Eight independent signal classes are brought to bear on any candidate text: lexical preferences, syntactic habits, prosodic rhythms, biographical-textual markers, intertextual citations, argumentative structures, conceptual co-occurrence topology, and rhetorical figure distribution. Attribution is always reported as a probability distribution across candidates, never as a point identification. The same methodology applies to contemporary anonymous authorship: unsigned manifestos, pseudonymous essays, disputed legal documents. Lector Absconditus does not recover the text. It recovers the ghost of the text. And the ghost, properly read, is enough.
Can help you with: Attributing anonymous or pseudonymous texts, recovering lost authors from fragments embedded in later works, stylometric analysis, forensic linguistics, detecting ghostwriting, analysing disputed authorship, and any problem where you have a text and need to find — or rule out — a writer.
The Cartographer of Word-Worlds is a semantic analysis tool that goes far beyond the traditional concordance. Where a standard concordance tells you where a word appears, Concordia maps where a word lives — its conceptual neighbourhood, its competitors, the history of its migrations through meaning-space. Every query returns up to five distinct views: a keyword-in-context list, a semantic neighbourhood map showing which concepts habitually travel with the queried word, a polysemy certificate determining whether a word carries unified meaning or fractures into disconnected clusters, a drift report tracking meaning across time (broadening, narrowing, metaphorical extension, technical appropriation, sudden discontinuity), and a competitor analysis revealing which near-synonyms the word blocks. Concordia applies equally to ancient philosophical vocabulary — tracking logos or virtus across centuries — and to contemporary political or technical language where meaning shifts in real time. Concordia maps the terrain. It does not legislate the meaning.
Can help you with: Semantic neighbourhood mapping, polysemy detection, meaning drift analysis, competitor analysis between near-synonyms, tracking vocabulary across corpora and centuries, and any problem where you need to understand not just where a word appears but how it lives.
The Chronological Analyser reconciles conflicting dates, reconstructs uncertain timelines, and orders events from fragmentary evidence. It handles calendar conversions (Julian, Gregorian, Islamic, Hebrew, regnal years), resolves contradictions between sources, and builds probabilistic timelines when exact dates are unavailable. Chronologos distinguishes between what is dated, what is datable, and what can only be placed in sequence.
Can help you with: Date reconciliation, calendar conversion, timeline construction from fragmentary evidence, resolving chronological contradictions between sources, and any problem where the order of events matters but the evidence is incomplete.
The Translation Comparison Engine takes two or more translations of the same source text and identifies where the translators diverged — and what their choices reveal about interpretation, ideology, audience, and the limits of equivalence. It works across any language pair and any period: Homer into English, Aristotle into Arabic, the Bible into everything. Every translation is an interpretation. Interpres makes the interpretive choices visible.
Can help you with: Comparing translations, identifying translator choices, analysing semantic shift across languages, understanding what is lost and gained in translation, and any problem where the same text exists in multiple versions.
The Semantic History Engine traces the biography of a word or concept across time — from its etymological birth through its migrations across languages, disciplines, and centuries. Where Concordia maps a word’s neighbourhood at a given moment, Lexica maps its life across all moments: when it was born, who adopted it, how it changed, what it replaced, and what will eventually replace it.
Can help you with: Etymology, semantic history, conceptual genealogy, tracking how ideas migrate between disciplines, and any problem where understanding where a word came from tells you what it actually means.
The Prosopographical Engine reconstructs the social networks of the past from fragmentary evidence. It identifies persons from partial references, maps relationships (kinship, patronage, correspondence, intellectual influence, enmity), detects possible identity merges, and builds network graphs from scattered attestations. It works from late antiquity to the present: Roman senators, medieval monks, Enlightenment correspondents, modern academic citation networks.
Can help you with: Identifying historical persons, reconstructing social networks, mapping patronage and influence, detecting identity merges from partial evidence, and any problem where understanding who knew whom changes what you understand about what happened.
The Manuscript Tradition Engine reconstructs the family tree of texts — the stemma codicum — from the pattern of shared errors across manuscript witnesses. Every manuscript was copied from another, and every copyist introduced errors. The pattern of which errors are shared and which are unique reveals the genealogical relationships between witnesses, identifies lost intermediaries, and determines which readings are closest to the author’s original. Stemma works with any textual tradition: classical, biblical, medieval, or modern.
Can help you with: Stemmatology, manuscript collation, variant analysis, identifying scribal errors, reconstructing lost exemplars, and any problem where multiple copies of a text disagree and you need to determine which is closest to the original.
The Intertextuality Engine maps citation networks, traces allusions, and reconstructs the web of influence between texts. Every text is woven from other texts — quotation, paraphrase, structural borrowing, silent allusion. Citatio identifies these threads and maps the topology of influence: who read whom, who borrowed what, and how ideas propagated through networks of texts across centuries.
Can help you with: Mapping citation networks, tracing allusions and structural borrowings, reconstructing influence topology, identifying silent quotation, and any problem where you need to see how texts are connected to each other.
The Source Analysis Engine takes apart compilations — texts assembled from earlier sources, reorganised and reframed. Most ancient and medieval texts are compilations, and many modern works are too. Compilator identifies the sources, maps which passages were selected and which omitted, analyses the reorganisation strategy, and reconstructs the compiler’s method and purpose.
Can help you with: Identifying sources within compilations, analysing selection and omission patterns, reconstructing compiler methods, understanding how encyclopaedias and anthologies were assembled, and any problem where a text is built from earlier texts.
The Authorship Attribution Engine determines who wrote what — not by guessing but by measuring. It integrates multiple independent stylometric streams (function word distribution, sentence rhythm, punctuation habits, vocabulary richness, syntactic preferences) and reports results as likelihood distributions across candidate authors. Where Lector Absconditus recovers the ghost of a lost author from fragments, Genitor identifies the living hand behind a disputed or anonymous text.
Can help you with: Authorship attribution, disputed texts, detecting ghostwriting, verifying authenticity, multi-author detection within single works, and any problem where the question is “who wrote this?”
The Rhetorical Structure Engine analyses how texts persuade. It detects rhetorical figures (anaphora, chiasmus, antithesis, tricolon, and dozens more), maps the dispositio (the structural arrangement of argument), analyses the balance of ethos, pathos, and logos, and compares rhetorical profiles across authors or periods. Every argument has an architecture. Rhetor makes it visible.
Can help you with: Rhetorical figure detection, argument structure analysis, comparing rhetorical styles across authors, speech analysis, persuasion anatomy, and any problem where you need to understand not just what a text says but how it works.