Word tables derived from corpus data: Practice Questions

• a.

  The word appears exactly \( 250 \) times in the entire document being studied.

• b.

  The word has \( 250 \) different semantic meanings depending on the context.

• c.

  The word occurs \( 250 \) times for every one million words in the corpus.

• d.

  The word is the \( 250^{th} \) most frequently used word in the English language.

• a.

  That the concept of intelligence has become objectively more common in society.

• b.

  That the word "sagacious" has undergone a morphological change to become "brainy."

• c.

  That modern writers have a smaller vocabulary than writers in previous centuries.

• d.

  A shift in lexical preference and the stylistic popularity of specific terms over time.

• a.

  The word "crystal" is a high-frequency function word that appears in many different collocations.

• b.

  The two words have a strong statistical dependency, appearing together much more often than would be expected by chance.

• c.

  The word "clear" is the most frequent collocate for every noun in the corpus table.

• d.

  The two words appear together more frequently than any other word pair in the entire corpus.

• a.

  To adjust the word count based on a standard size like per million words.

• b.

  To measure the emotional intensity of the word.

• c.

  To show the total number of times a specific word appears within a given dataset.

• d.

  To calculate the semantic relationship between two synonyms.

• a.

  It helps identify the original etymology of words in historical texts.

• b.

  It filters out function words to focus on content words.

• c.

  It allows for a direct comparison of word usage patterns across datasets of unequal length.

• d.

  It calculates the likelihood of a word occurring by chance.

Write your answer out first, then check it against the worked solution.

Write your answer out first, then check it against the worked solution.