"Back in 2012, Abram Hindle and colleagues trained statistical language models on ten Java codebases and compared their predictability with English."
Hindle and colleagues compared n-gram language models trained on ten Java projects with models of English corpora. Their experiments established that source code contains substantial statistical regularity, providing an empirical foundation for the argument that coding is an unusually predictable domain for language models.
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