@inproceedings{oai:repository.ninjal.ac.jp:00003619, author = {Asahara, Masayuki}, book = {Proceedings of the 13th Conference on Language Resources and Evaluation(LREC 2022)}, month = {}, note = {application/pdf, National Institute for Japanese Language and Linguistics / Tokyo University of Foreign Studies, This study examined the effect of the differences in human vocabulary on reading time. This study conducted a word familiarity survey and applied a generalised linear mixed model to the participant ratings, assuming vocabulary to be a random effect of the participants. Following this, the participants took part in a self-paced reading task, and their reading times were recorded. The results clarified the effect of vocabulary differences on reading time.}, pages = {5178--5187}, publisher = {European Language Resources Association}, title = {Reading Time and Vocabulary Rating in the Japanese Language : Large-Scale Reading Time Data Collection Using Crowdsourcing}, year = {2022} }