English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Automated documentation of programming source code and automated codegeneration from natural language are challenging tasks of both practical andscientific interest. Progress in these areas has been limited by the lowavailability of parallel corpora of code and natural language descriptions,which tend to be small and constrained to specific domains.  In this work we introduce a large and diverse parallel corpus of a hundredthousands Python functions with their documentation strings ("docstrings")generated by scraping open source repositories on GitHub. We describe baselineresults for the code documentation and code generation tasks obtained by neuralmachine translation. We also experiment with data augmentation techniques tofurther increase the amount of training data.  We release our datasets and processing scripts in order to stimulate researchin these areas.

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation