Which type of data would be most informative for detecting semantic shifts?

• A. Word length.
• B. Number of authors.
• C. Average sentence length.
• D. Changes in senses within words.

Answer: (D)

Understanding semantic shifts means looking at how a word’s meanings change over time, not just how long the word is or who writes with it. The most informative data for spotting these shifts is changes in senses within words—the way different meanings emerge, disappear, or gain prominence across periods.

When you study this, you’d examine how a word is used in different contexts across time, track the frequencies of its various senses, and use sense inventories or time-sliced corpora to see which sense is active in what era. Distributional methods can reveal that a word has acquired a new sense or that a sense has become more common, even if the spelling or length stays the same.

In contrast, data like word length or average sentence length speaks to form or style, not the meaning of words. The number of authors tells you about who produced the text, not how the language’s meanings shift. So, for detecting semantic shifts, information about changing senses within words is the most direct and informative.