Tal om Kvinnor: Corpus Reader

A client-side single-page application for browsing Swedish parliamentary debates from 1900–1940. The reader is the public-facing interface for the Tal om Kvinnor ("Speech about Women") corpus — a digitised, annotated record of utterances from both chambers of the Swedish Riksdag (Första kammaren and Andra kammaren).

Per-year SQLite databases are downloaded on demand and executed in the browser via sql.js (WebAssembly), so no backend is required.

Features

• Browse debates chronologically with a chained reader (prev/next utterance navigation).
• Search within a year by free text, party, gender, speaker, chamber, and kvinna-tag annotations.
• Per-utterance metadata: speaker, party, gender, date, chamber, and three layers of kvinna-keyword annotations.
• Cross-year navigation to follow individual speakers across the corpus.

Tech stack

React 18 · TypeScript · Vite · TailwindCSS · sql.js · React Router DOM

Local development

npm install
npm run dev        # Vite dev server at http://localhost:5173/
npm run build      # Type-check (tsc) and build for production
npm run preview    # Preview production build

Place per-year SQLite files in ./dbs/ (named ToK_data_<year>.sqlite3) for local dev, or set VITE_USE_REMOTE_DB=true to fetch from the production source.

Deployment

main is auto-deployed to GitHub Pages by .github/workflows/deploy.yml on every push. The production base path is /ToK-Reader/.

Data schema

Two tables per year:

• person(id, name, gender, party)
• utterance(id, content, prev, next, person_id, year, date, kammare, kvinna_1, kvinna_2, kvinna_3)

Utterances form a linked list via prev/next. kammare is 1 (Första kammaren) or 2 (Andra kammaren).

License

Code and derivative data are released under CC-BY-NC-4.0.

Citation

If you use this site or its derivative data, please cite it. Machine-readable metadata is provided in CITATION.cff.

Plain text:

Johansson, M., & Holgersson, U. (2025). Tal om Kvinnor: Corpus Reader [Software]. https://doi.org/10.5281/zenodo.18211768

BibTeX:

@software{johansson_tok_reader_2025,
  author    = {Johansson, Mathias and Holgersson, Ulrika},
  title     = {Tal om Kvinnor: Corpus Reader},
  year      = {2025},
  month     = {12},
  url       = {https://github.com/DigitalHistory-Lund/ToK-Reader},
  doi       = {10.5281/zenodo.18211768},
  license   = {CC-BY-NC-4.0}
}

And make sure to cite the original source of the data:

@inproceedings{yrjanainen-etal-2024-swedish,
    title = "The {S}wedish Parliament Corpus 1867 {--} 2022",
    author = {Yrj{\"a}n{\"a}inen, V{\"a}in{\"o} Aleksi  and
      Mohammadi Nor{\'e}n, Fredrik  and
      Borges, Robert  and
      Jarlbrink, Johan  and
      {\r{A}}berg Brorsson, Lotta  and
      Olsson, Anders P.  and
      Snickars, Pelle  and
      Magnusson, M{\r{a}}ns},
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1400/",
    pages = "16100--16112",
}

Zenodo DOI: 10.5281/zenodo.18211768

Authors

• Mathias Johansson — ORCID 0000-0002-3338-0551 · MathiasJohansson@kultur.lu.se
• Ulrika Holgersson — ORCID 0000-0002-0672-6166