tracealign 0.1.2

Textual Reuse, Alignment, and Collation Engine — pairwise philological alignment with pluggable language packs

TRACE

Textual Reuse, Alignment, and Collation Engine — a Python library for pairwise philological alignment with pluggable language packs.

TRACE is designed for textual criticism, manuscript witness comparison, and the creation of digital synopses and critical editions. The core is language-agnostic; the first shipped language pack covers Biblical and Rabbinic Hebrew (hbo).

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Highlights

• Tokenizer pipeline with editorial-marker awareness ([reconstructed], ⟦deletion⟧, 〈insertion〉, (expanded), lacunae).
• Tiered scoring returning (score, reason) per token pair — EXACT, NIQQUD_STRIPPED, PLENE_DEFECTIVE, ABBREVIATION, ORTHOGRAPHIC, INSERTION, OMISSION, NO_MATCH.
• Semi-global Needleman–Wunsch with affine gap penalties (Gotoh) and a multi-token abbreviation lookahead (ר"י ↔ רבי ישמעאל).
• Hebrew language pack with niqqud strip, plene/defective skeleton matching, gershayim/maqqef tokenizer hooks, and a seed lexicon of rabbinic abbreviations (extendable via Lexica.merge()).
• I/O for plain text, JSON (round-trip), eScriptorium exports (with bbox + line metadata), and TEI XML (<tei:w> mode + flow-text fallback).
• Reproducible — every AlignmentResult carries trace_version and language_pack_version in its params.

Installation

pip install tracealign

Requires Python 3.10+. Pulls pydantic, numpy, lxml, and rapidfuzz.

Quick start

import tracealign

w1 = tracealign.tokenize("שלום עולם רַבִּי דויד ר\"י אמר", lang="hbo", seq_label="W1")
w2 = tracealign.tokenize("שלום עולם רבי דוד רבי ישמעאל אמר", lang="hbo", seq_label="W2")

result = tracealign.align(w1, w2, lang="hbo")

print(f"total score: {result.total_score:.2f}")
print(f"summary: {dict(result.summary)}")
for m in result.matches:
    a = m.token_a.text if m.token_a else "—"
    b = m.token_b.text if m.token_b else "—"
    print(f"  {a:>10} ↔ {b:<10}  {m.reason.value:<18} {m.score:.2f}")

Output (abridged):

total score: 0.91
summary: {EXACT: 3, NIQQUD_STRIPPED: 1, PLENE_DEFECTIVE: 1, ABBREVIATION: 1}
       שלום ↔ שלום        exact              1.00
       עולם ↔ עולם        exact              1.00
      רַבִּי ↔ רבי         niqqud_stripped    0.95
       דויד ↔ דוד          plene_defective    0.85
        ר"י ↔ רבי          abbreviation       0.85   (primary)
        ר"י ↔ ישמעאל       abbreviation       0.00   (continuation)
        אמר ↔ אמר          exact              1.00

See the documentation for installation details, the full API, FAQs, and the design rationale.

Documentation

Section	What it covers
Installation	pip / from source / dev setup
Usage	Tokenize, align, work with the result, custom lexica
Details	Tokenizer pipeline, scoring tiers, DP algorithm
FAQ	Common questions about scope, language packs, performance
Contributing	Development workflow, TDD discipline, branch model

Project status

Current release	0.1.1
Roadmap	docs/ROADMAP.md
Design spec	docs/superpowers/specs/2026-04-28-trace-v0.1-design.md
Future sub-projects	Multi-witness master graph · Geniza anchor detection · Text-reuse · Critical edition / apparatus

License

MIT © 2026 Benjamin Schnabel.

Citation

If you use TRACE in academic work, please cite the repository — a Zenodo DOI will follow with the first non-pre-release tag.