Why is analyzing more than one text important when studying language change?

Why is analyzing more than one text important when studying language change?

• A. It may not represent broader change and can be anomalous
• B. It shows the full picture
• C. It reveals all regional variations
• D. It demonstrates universal patterns

Answer: (A)

The main idea is that evidence for language change should be representative and reliable. Analyzing more than one text helps determine whether a feature is really spreading across the language or just a quirky feature of a single speaker, genre, time, or context. A single text can reflect an individual author’s habits or a specific setting, so it might look like a change when it’s actually an anomaly. By comparing multiple texts across different authors, genres, and times, you can spot patterns that recur and distinguish genuine shifts from isolated appearances. This broader evidence is what lets you talk about broader change rather than a one-off occurrence. While examining many texts helps reveal patterns, it doesn’t guarantee a complete picture of every regional variation or universal pattern—those require even larger, more diverse data and careful interpretation.

The main idea is that evidence for language change should be representative and reliable. Analyzing more than one text helps determine whether a feature is really spreading across the language or just a quirky feature of a single speaker, genre, time, or context. A single text can reflect an individual author’s habits or a specific setting, so it might look like a change when it’s actually an anomaly. By comparing multiple texts across different authors, genres, and times, you can spot patterns that recur and distinguish genuine shifts from isolated appearances. This broader evidence is what lets you talk about broader change rather than a one-off occurrence.

While examining many texts helps reveal patterns, it doesn’t guarantee a complete picture of every regional variation or universal pattern—those require even larger, more diverse data and careful interpretation.