Initially a small collection of "seed" texts are fed to the crawler (a few hundred words of running text have been sufficient in practice). Queries combining words from these texts are generated and passed to the Google API which returns a list of documents potentially written in the target language. These are downloaded, processed into plain text, and formatted. A combination of statistical techniques bootstrapped from the initial seed texts (and refined as more texts are added to the database) is used to determine which documents (or sections thereof) are written in the target language. The crawler then recursively follows links contained within documents that are in the target language. When these run out, the entire process is repeated, with a new set of Google queries generated from the new, larger corpus.