An agent-based situated language learning simulation that focuses on lexical learning and grounding, featuring a unigram syntax structure and a CFG-based semantic grammar. Created as a MSc thesis project, using python.

Project Samples

Bindings panel Running simulation with performance plotted in background Sensor hive panel Continuous sensor panel Correlation of statistics panel Syntactic grammar panel

Project Activity

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Categories

Linguistics, Machine Learning

License

Academic Free License (AFL)

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Additional Project Details

Operating Systems

Windows

Intended Audience

Science/Research

User Interface

wxWidgets

Programming Language

Python

Related Categories

Python Linguistics Software, Python Machine Learning Software

Registered

2011-02-10
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