@inproceedings{asahara-2022-reading,
title = "Reading Time and Vocabulary Rating in the {J}apanese Language: Large-Scale {J}apanese Reading Time Data Collection Using Crowdsourcing",
author = "Asahara, Masayuki",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.lrec-1.555/",
pages = "5178--5187",
abstract = "This study examines how differences in human vocabulary affect reading time. Specifically, we assumed vocabulary to be the random effect of research participants when applying a generalized linear mixed model to the ratings of participants in the word familiarity survey. Thereafter, we asked the participants to take part in a self-paced reading task to collect their reading times. Through fixed effect of vocabulary when applying a generalized linear mixed model to reading time, we clarified the tendency that vocabulary differences give to reading time."
}
Markdown (Informal)
[Reading Time and Vocabulary Rating in the Japanese Language: Large-Scale Japanese Reading Time Data Collection Using Crowdsourcing](https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.lrec-1.555/) (Asahara, LREC 2022)
ACL