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A deep language model for software code

Published in arXiv (Cornell University) • Aug 9, 2016
NobleIDNI1P83W09R75S03
Authors:
Hoa Khanh Dam
,
Truyen Tran
,
Trang Pham

Abstract

Existing language models such as n-grams for software code often fail to capture a long context where dependent code elements scatter far apart. In this paper, we propose a novel approach to build a language model for software code to address this particular issue. Our language model, partly inspire...

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