@InProceedings{loukina-liceralde-beigmanklebanov:2018:N18-1,
  author    = {Loukina, Anastassia  and  Liceralde, Van Rynald T.  and  Beigman Klebanov, Beata},
  title     = {Towards Understanding Text Factors in Oral Reading},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {2143--2154},
  abstract  = {Using a case study, we show that variation in oral reading rate across passages for professional narrators is consistent across readers and much of it can be explained using features of the texts being read. While text complexity is a poor predictor of the reading rate, a substantial share of variability can be explained by timing and story-based factors with performance reaching r=0.75 for unseen passages and narrator.},
  url       = {http://www.aclweb.org/anthology/N18-1195}
}