Summary of the paper

Title Analyzing Vocabulary Commonality Index Using Large-scaled Database of Child Language Development
Authors Yan Cao, Yasuhiro Minami, Yuko Okumura and Tessei Kobayashi
Abstract The present study proposed a vocabulary commonality index for child language development to investigate to what extent each child acquires common words during the early stages of lexical development. We used large-scaled, vocabulary-checklist data from Japanese-speaking children (N=1,451) aged 8-48 months to estimate their age of acquisition (AoA) of 2688 words by logistic regression. Then we calculated the vocabulary commonality index for each child with two datasets. The results showed that as their vocabulary size increases, children who have the same vocabulary size tend to produce common words with the same ratio.
Topics Speech Resource/Database, Acquisition, Language Modelling
Full paper Analyzing Vocabulary Commonality Index Using Large-scaled Database of Child Language Development
Bibtex @InProceedings{CAO18.623,
  author = {Yan Cao and Yasuhiro Minami and Yuko Okumura and Tessei Kobayashi},
  title = "{Analyzing Vocabulary Commonality Index Using Large-scaled Database of Child Language Development}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
  }
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