To cite 'textometry' in publications use:

TXM Team (2013). TXM Manual. ICAR Laboratory, Lyon University & CNRS, Lyon, France. https://txm.gitpages.huma-num.fr/textometrie?lang=en.

Heiden, Serge (2010). “The TXM Platform: Building Open-Source Textual Analysis Software Compatible with the TEI Encoding Scheme.” In Otoguro R, Ishikawa K (eds.), Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation (PACLIC 24). 4-7 November 2010, Sendai, 389–398. https://halshs.archives-ouvertes.fr/halshs-00549764/en.

Lafon, Pierre (1980). “Sur la variabilit'e de la fr'equence des formes dans un corpus.” Mots, 1(1), 127–165. ISSN 0243-6450, doi:10.3406/mots.1980.1008, https://www.persee.fr/doc/mots_0243-6450_1980_num_1_1_1008.

Corresponding BibTeX entries:

  @Manual{,
    title = {TXM Manual},
    author = {{TXM Team}},
    organization = {ICAR Laboratory, Lyon University & CNRS},
    address = {Lyon, France},
    year = {2013},
    url = {https://txm.gitpages.huma-num.fr/textometrie?lang=en},
  }

  @InProceedings{,
    title = {The TXM Platform: Building Open-Source Textual Analysis
      Software Compatible with the TEI Encoding Scheme},
    booktitle = {Proceedings of the 24th Pacific Asia Conference on
      Language, Information and Computation (PACLIC 24). 4-7 November
      2010, Sendai},
    publisher = {Institute for Digital Enhancement of Cognitive
      Development, Waseda University},
    author = {{Heiden, Serge}},
    editor = {Ryo Otoguro and Kiyoshi Ishikawa},
    month = {nov},
    year = {2010},
    keywords = {xml-tei corpora ; search engine ; statistical analysis
      ; textometry ; open-source},
    pages = {389--398},
    url = {https://halshs.archives-ouvertes.fr/halshs-00549764/en},
    abstract = {This paper describes the rationale and design of an
      XML-TEI encoded corpora compatible analysis platform for text
      mining called TXM. The design of this platform is based on a
      synthesis of the best available algorithms in existing textometry
      software. It also relies on identifying the most relevant
      open-source technologies for processing textual resources encoded
      in XML and Unicode, for efficient full-text search on annotated
      corpora and for statistical data analysis. The architecture is
      based on a Java toolbox articulating a full-text search engine
      component with a statistical computing environment and with an
      original import environment able to process a large variety of
      data sources, including XML-TEI, and to apply embedded NLP tools
      to them. The platform is distributed as an open-source Eclipse
      project for developers and in the form of two demonstrator
      applications for end users: a standard application to install on
      a workstation and an online web application framework.},
  }

  @Article{,
    title = {Sur la variabilit'e de la fr'equence des formes dans un
      corpus},
    author = {{Lafon, Pierre}},
    journal = {Mots},
    volume = {1},
    number = {1},
    pages = {127--165},
    year = {1980},
    issn = {0243-6450},
    url = {https://www.persee.fr/doc/mots_0243-6450_1980_num_1_1_1008},
    doi = {10.3406/mots.1980.1008},
    language = {fre},
    publisher = {Presses de la Fondation nationale des sciences
      politiques, 27 Rue Saint Guillaume, 75341, Paris},
    abstract = {FORM FREQUENCY VARIABILITY IN A CORPUS P. L. is
      studying the distribution of the frequency of a word in a corpus
      divided into several fragments. Contrary to current work in this
      field, he proposes to use the formulae of the hypergeometric
      distribution, choosing the whole corpus as the norm of the
      fragments. These choices lead to the calculation of a
      probabilistic index valid for the whole range of frequencies. The
      calculation of this index for every form in the vocabulary
      enables us to define two complementary subsets of forms : that of
      specific forms and that of basic forms, and to attribute to each
      fragment its own lexical specifications.},
  }