@inproceedings{laguardia-2020-persistent,
    title = "Persistent {MT} on software technical documentation - a case study",
    author = "Laguardia, Mar{\'i}a Concepci{\'o}n",
    editor = "Martins, Andr{\'e}  and
      Moniz, Helena  and
      Fumega, Sara  and
      Martins, Bruno  and
      Batista, Fernando  and
      Coheur, Luisa  and
      Parra, Carla  and
      Trancoso, Isabel  and
      Turchi, Marco  and
      Bisazza, Arianna  and
      Moorkens, Joss  and
      Guerberof, Ana  and
      Nurminen, Mary  and
      Marg, Lena  and
      Forcada, Mikel L.",
    booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
    month = nov,
    year = "2020",
    address = "Lisboa, Portugal",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.eamt-1.37/",
    pages = "347--352",
    abstract = "We report on the features and current challenges of our on-going implementation of a Persistent MT workflow for Citrix Product Documentation, to increase localization coverage to 100{\%} content in docs.citrix.com into German, French, Spanish, Japanese and Simplified Chinese. By the end of 2019, we had processed seven million words of English documentation with this model, across 24 doc sets, and raised localization coverage from 40{\%} to 100{\%} of the content of our documentation repositories. This has boosted our global reach across the entire Citrix portfolio (Digital Workspace, Networking, and Analytics). The current implementation requires a process of Light Post-editing (LPE) for all languages, in order to fix over-translations, out-of-domain words, inline tags and markdown errors in the raw output."
}