This episode discusses the blog article “N-Grams Explained: Pattern Recognition in Text” by Ralf Dodler on Dodler Consulting. It explains the concept of N-grams as a tool for recognizing patterns in texts. It illustrates how N-grams break down language into word sequences to reveal recurring combinations and linguistic habits. The article shows how N-gram analysis can improve the quality of content by revealing thematic relevance and semantic gaps, and how N-gram optimization leads to more precise and coherent texts, while also explaining typical application errors and the benefits of N-gram tools.
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