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novel_word_generalization

This code provides a framework for modeling the problem of novel word generalization, integrated within a cross-situational word learning framework.

The core algorithm implements the model of Fazly et al. (2010), which is an incremental and probabilistic word learner. The extension of the Fazly et al. (2010) model to novel word generalization is described in Nematzadeh et al. (2015).

The original model of Fazly et al. is implemented here.

References:

Starter code is provided in starter/conduct_generalization_experiments.py.

Requirements: Python 2, numpy, scipy

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