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Look Deeper: Text Analysis with Statistical Insights

Text2Voca Editorial ·

Frequent words, parts of speech, lemmas, and sentence shape: data-driven analysis reveals patterns and deepens understanding—learning aid, not translation. (Currently available for German, English, Spanish, and French.)

Why statistics help you read

Thematic Maps show the storyline; statistics expose a text’s DNA. With frequencies and parts of speech, you see which terms carry meaning. The goal is understanding through structure.

Frequent words—signal over noise

Our analysis filters stopwords, so you see truly relevant terms. It’s practical for vocabulary work in context.

Mark parts of speech in the original text

Directly in the text we mark parts of speech. This makes grammar relations visible. Important: tagging is automatic and can be wrong in edge cases. Treat the tags as a hint.

Lemmas & word length

Lemmas group inflected forms into a base form. The word-length distribution hints at style and readability.

Honest limits

Automated analysis is powerful but not perfect. Combine statistics for detail with the Thematic Map for structure.

Conclusion

Statistical text analysis makes the invisible visible.

Explore the statistical side of language! Start your analysis now!

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#Language learning #Text analysis #Parts of speech #Lemmas #Keyword extraction #Statistics #Context