discriminative_lexicon_model - Discriminative Lexicon Model in Python

discriminative_lexicon_model provides some matrix-multiplications and accuracy-calculations in the framework of Discriminative Lexicon Model (Baayen et al., 2019).

Contents:

• Quickstart
  • Installation
  • Quick overview of the theory “Discriminative Lexicon Model (DLM)”
    • Short summary
    • A little bit more detail
  • Create a model object
  • Set up the basis matrices C and S
    • C-matrix
    • S-matrix
  • Estimation of the association matrices F and G
    • F-matrix
    • G-matrix
  • Prediction of the form and semantic matrices
    • S-hat matrix
    • C-hat matrix
  • Check the model’s performance
    • Prediction accuracy
    • Prediction dataframes
    • Obtain predictions for a particular word
  • Deriving semantic measures
    • Semantic support
    • Production accuracy
    • Functional load
    • Uncertainty in production and comprehension
    • Semantic vector length
• Linear Discriminative Learning
• Semantic measures from LDL
  • Semantic support
  • Production accuracy
  • Functional load
  • Uncertainty in production and comprehension
  • Semantic vector length
• Performance measures
  • Prediction accuracy
  • Prediction dataframes
  • Obtain predictions for a particular word
• Incremental learning
  • Incremental learning by a list of words
  • Incremental learning by a list of word indices