https://arxiv.org/pdf/1909.04556.pdf
Реферат:
Computer science education has promised open access around the
world, but access is largely determined by what human language
you speak. As younger students learn computer science it is less
appropriate to assume that they should learn English beforehand.
To that end we present CodeInternational, the first tool to translate
code between human languages. To develop a theory of non-English
code, and inform our translation decisions, we conduct a study of
public code repositories on GitHub. The study is to the best of
our knowledge the first on human-language in code and covers
2.9 million Java repositories. To demonstrate CodeInternational’s
educational utility, we build an interactive version of the popular
English-language Karel reader and translate it into 100 spoken
languages. Our translations have already been used in classrooms
around the world, and represent a first step in an important open
CS-education problem.