Task: Question Answering
Input (English): A selection of results from this study are that:

Non-English code is a large-scale phenomena.

Transliteration is common in identifiers for all languages.

Languages clusters into three distinct groups based on how speakers use identifiers/comments/transliteration.

Non-latin script users write comments in their L1 script but write identifiers in English.

Right-to-left (RTL) language scripts, such as Arabic, have no observed prevalence on GitHub identifiers, implying that existing coders who speak RTL languages have substantial barriers in using their native script in code. 
 Question: What are results of public code repository study?
Output (English): Non-English code is a large-scale phenomena. Transliteration is common in identifiers for all languages. Languages clusters into three distinct groups based on how speakers use identifiers/comments/transliteration. Non-latin script users write comments in their L1 script but write identifiers in English. Right-to-left (RTL) language scripts, such as Arabic, have no observed prevalence on GitHub identifiers