Questions in spoken language

Spoken language is usually seen as being more interactive than written language. As speakers, we address each other directly (Hey guys), indicate our attention to each other (Mmm), and respond to each others’ comments (Really?, You didn’t!). These are all examples of interactive features.

Another interactive feature associated with spoken language is question–answer sequences. In this investigation we will explore this feature, using data from ICE-GB (our corpus, or database of real language).

In ICE-GB we can do an automatic search for interrogative clauses, a type of clause typically used to ask questions. Interrogative clauses have particular grammatical features involving a special word order (Subject-verb inversion) and/or the presence of a question word such as who, what, where. Here are a couple of examples from the corpus:

Note that we don’t see the expected question marks in these examples, as final punctuation is not used for spoken language units in the corpus.

Spoken vs. written English

The points above give us a starting point for our investigations. We know that interrogative clauses are typically used to ask questions, and that interactive features like questions are typically associated with spoken language. This might lead us to ask the following question:

Or, instead of wording this as a question, we can word it as a hypothesis, an idea which is to be tested against the data:

Spoken vs. written: Step 1

Step 1. To test our hypothesis, we start by looking for main clauses which are interrogative in ICE-GB. Our search finds the following:

  interrogative main clauses
Spoken: 4,992
Written: 730
Total: 5,722

This result seems to show a very striking difference. It looks as though there are around seven times as many interrogative clauses in the spoken material as in the written. But is it correct to compare the numbers directly in this way?

There are a couple of reasons why this is not a fair comparison:  

To do a proper comparison, we need to:

Spoken vs. written: Step 2

Step 2. We search for all main clauses in ICE-GB, and add these figures to our table:

  interrogatives main clauses
Spoken: 4,992 45,334
Written: 730 23,722
Total: 5,722 69,056

Spoken vs. written: Step 3

Step 3. We divide the number of interrogative main clauses by the total number of main clauses to find out what percentage of main clauses are interrogative.

  interrogatives main clauses %
Spoken: 4,992 45,334 11%
Written: 730 23,722 3%
Total: 5,722 69,056 8%

Spoken vs. written: discussion

Dialogue vs. monologue

We can take our investigation further by comparing different types of spoken data. There are two main groupings of spoken genres in ICE-GB: dialogue and monologue. (We leave aside a smaller category of ‘mixed’ type.)

Which of the two groupings, dialogue or monologue, do you think will have the highest frequency of interrogatives? Write down your idea now in the form of a hypothesis.

If we follow the three steps we used for written vs. spoken data, we obtain the following table (with the smaller ‘mixed’ spoken category removed from the total).

  interrogatives main clauses %
Dialogue: 4,635 30,337 15%
Monologue: 290 12,541 2%
Total: 4,925 42,878 11%

Comparing dialogue genres

Let’s look more closely at the different genres of dialogue in ICE-GB. There are eight genres:

Which genre do you think will have the highest proportion of interrogative clauses? And which the lowest? Write down your ideas as hypotheses now.

The table below shows what we find in ICE-GB (with the category names abbreviated). You may need to scroll down to see the full results for the eight categories and the total.

Results for dialogue genres

  interrogatives main clauses %
Conversations: 2,590 17,317 15%
Telephone: 280 2,043 14%
Discussions: 304 2,631 12%
Interviews: 180 1,570 11%
Business: 246 1,594 15%
Classroom: 538 2,894 19%
Legal x-exam: 329 1,555 21%
Parliament: 168 733 23%
All dialogue: 4,635 30,337 15%

Review of findings

The percentages of interrogatives vary considerably among these genres.

Looking at a spoken extract

One way to investigate further is to look in detail at particular extracts. Individual extracts themselves vary in the frequency of interrogatives, so we could choose some with especially high frequencies.

In the extract below, 46% of the main clauses are interrogatives. It is taken from a classroom lesson at a university. Here are some points to help you understand the layout of the extract:

Classroom lesson extract

Questions for discussion

Comparing other extracts

You could explore further by choosing one of the other extracts below, or by collecting your own data. Here are some points to keep in mind when looking at interrogatives and questions:

The extracts below are as follows, with figures for the percentage of main clauses which are interrogative:

Private conversation extract

Legal cross-examination extract

Parliamentary debate extract

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