Contribution of sublexical information to word meaning: An objective approach using latent semantic analysis and corpus analysis on predicates

@inproceedings{Inohara2014ContributionOS,
  title={Contribution of sublexical information to word meaning: An objective approach using latent semantic analysis and corpus analysis on predicates},
  author={Keisuke Inohara and Taiji Ueno},
  booktitle={CogSci},
  year={2014}
}
Past studies have employed a subjective rating/categorization methodology to investigate whether radicals, an example of sub-lexical visual information in Chinese/kanji, contribute to computation of character/word meaning, with conflicting results. This study took an objective, corpus-based approach for the first time. Specifically, we conducted a Latent… CONTINUE READING