A paper presented as a poster at ICML. Abstract:
We introduce a new generative model for code called probabilistic higher order grammar (PHOG). PHOG generalizes probabilistic context free grammars (PCFGs) by allowing conditioning of a production rule beyond the parent non-terminal, thus capturing rich contexts relevant to programs. Even though PHOG is more powerful than a PCFG, it can be learned from data just as efficiently. We trained a PHOG model on a large JavaScript code corpus and show that it is more precise than existing models, while similarly fast. As a result, PHOG can immediately benefit existing programming tools based on probabilistic models of code.
Also comes with reviews.
Recent comments
22 weeks 1 day ago
22 weeks 2 days ago
22 weeks 2 days ago
44 weeks 3 days ago
48 weeks 5 days ago
50 weeks 2 days ago
50 weeks 2 days ago
1 year 6 days ago
1 year 5 weeks ago
1 year 5 weeks ago