@InProceedings{akhlaghi-EtAl:2020:LREC,
  author    = {Akhlaghi, Elham  and  Bédi, Branislav  and  Bektaş, Fatih  and  Berthelsen, Harald  and  Butterweck, Matthias  and  Chua, Cathy  and  Cucchiarin, Catia  and  Eryiğit, Gülşen  and  Gerlach, Johanna  and  Habibi, Hanieh  and  Ní Chiaráin, Neasa  and  Rayner, Manny  and  Steingrímsson, Steinþór  and  Strik, Helmer},
  title     = {Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages},
  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month          = {May},
  year           = {2020},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {323--331},
  abstract  = {LARA (Learning and Reading Assistant) is an open source platform whose purpose is to support easy conversion of plain texts into multimodal online versions suitable for use by language learners. This involves semi-automatically tagging the text, adding other annotations and recording audio. The platform is suitable for creating texts in multiple languages via crowdsourcing techniques that can be used for teaching a language via reading and listening. We present results of initial experiments by various collaborators where we measure the time required to produce substantial LARA resources, up to the length of short novels, in Dutch, English, Farsi, French, German, Icelandic, Irish, Swedish and Turkish. The first results are encouraging. Although there are some startup problems, the conversion task seems manageable for the languages tested so far. The resulting enriched texts are posted online and are freely available in both source and compiled form.},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.40}
}