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Date: 2014_04_28 Author: Victor Barres Email: barres@usc.edu University of Southern California USC Brain Project and USC Neuroscience Template Construction Grammar (alpha) TCG_alpha is the python re-implementation of Jinyong Lee TCG c++ code. Bibliographic references to this work: Arbib, M.A., Lee, J., 2007. Vision and action in the language-ready brain: from mirror neurons to SemRep. Arbib, M.A., Lee, J., 2008. Describing visual scenes: Towards a neurolinguistics based on construction grammar Barres, V. & Lee, J. 2012. Template Construction Grammar: From visual scene description to language comprehension and agrammatism *Lee, J. 2012. Linking eyes to mouth: a schema-based computational model for describing visual scenes (Thesis) (* = Main reference) Notes: construction.py - VOCAB class was renamed GRAMMAR loader.py - The scene.txt format has been modified. Keyword "update" added to distinguish between use of "perceive" Now use: perceive { SCHEMA1, SCHEMA2, SCHEMA3 } update { SCHEMA1 = CONCEPT1, SCHEMA2 = CONCEPT2 } UPDATE IS NOT THE PROPER TERM! - Does not handle image name contain space (C++ code does) concept.py - SEM_NET.ROOT() method was not implemented as it seems to be deprecated - SEM_NET.Explore() method was not implemented as it seems to be deprecated simulator.py TO DO: - Check in produce utterance if the number of syllable cannot be more simply computed using synform.num_syllables. - Finish DOCSTRINGS
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Python version of Jinyong Lee C++ TCG code
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