Translations:Help:CirrusSearch/602/en

Topic models are derived via machine learning from ORES. Any given article receives a score on dozens of different topics, and therefore may appear under different keywords. For instance, the article on Albert Einstein may appear as a "physics" article and a "biography" article. All languages have scores available -- some have local-language topic models that have coverage on all articles. Other languages do not have local-language topic models, and are using English-language scores assigned to articles in the local language that also exist in English Wikipedia. The languages with such "crosswalk" models do not have 100% coverage -- depending on the language, it may only be something like 60% of articles that have topics available.