  Nowadays, technology is rapidly advancing: bots are writing comments,
articles, and reviews. Due to this fact, it is crucial to know if the text was
written by a human or by a bot. This paper focuses on comparing structures of
the coarse-grained partitions of semantic paths for human-written and
bot-generated texts. We compare the clusterizations of datasets of n-grams from
literary texts and texts generated by several bots. The hypothesis is that the
structures and clusterizations are different. Our research supports the
hypothesis. As the semantic structure may be different for different languages,
we investigate Russian, English, German, and Vietnamese languages.
