The Ganong effect (2.5 hours)

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In the previous section, I asked you to draw a graph predicting what you think would happen in a new kind of experiment. Do the activities below to think about this kind of experiment and learn what it's about.

In answering the previous question, here's the sort of graph I would predict:

Graph with ba-pa and because-pecause

Did your graph look approximately like this?

Why would I expect this pattern of results? Explain why I predict the results like this. (Think about how "because-pecause" is different than "ba-pa", for English speakers.)

Now imagine I do this experiment again, but with a new set of sounds. Instead of using ba-pa or because-because, now I use the sounds biece-piece. Again, I edit the sound to have different VOTs. And I do the experiment with English speakers.

What do you predict the results to look like? Draw your results (add them to the previous graph, so that I can see one graph with three lines: one line for ba-pa, one line for because-pecause, and one line for biece-piece.)

Here's the graph I would expect:

Ganong effect graph

Hopefully you have figured out why this would be expected.

For "pa" vs. "ba", the line is in the middle. This represents how people might recognize the sounds when there's no extra information to bias the way they respond.

But for "because" vs. "pecause", their response might be influenced by knowledge of words. Because is a real word in English, but Pecause is not. Therefore, when people hear a sound that's a little ambiguous, they might prefer to interpret it as because, because that's a real word. Therefore, if the VOT is around 20 milliseconds or so (the area right on the border between "b" and "p", where sounds might sound kind of halfway between "b" and "p"), people tend to choose "b" a lot; in other words, then rarely choose "p". Overall, this line is lower than the pa/ba line, because people choose "p" less.

For "biece" vs. "piece", the situation is the opposite. Piece is a real word in English, but Biece is not. Therefore, when people hear an ambiguous sound, they might prefer to interpret it as "piece" rather than as "biece". The line for piece/biece is higher than the others, because people choose "p" more.

This pattern is known as the Ganong effect (named after the name of the person who did an experiment discovering it). We choose a certain sound ("p", in this example) more often in a context where that sound creates a real word ("_iece") than we do in a context where that sound would create a non-word ("_ecause"). Here is a recent short paper about Ganong effects in Mandarin, if you want to read more.


Design a Ganong effect paradigm in your own language. That means you should choose three pairs of sounds, just like I did here. You should choose one pair where the aspirated sound makes a real word and the unaspirated sound does not; one pair where the unaspirated sound makes a real word and the aspirated sound does not; and one neutral pair (either both sounds make real words, or both make non-words). Don't use words from a published paper or example you find online; come up with your own words.

Draw a graph of your expected results, with the lines labeled. (If your experiment uses a language other than English, Cantonese, Mandarin, or French, then you will also need to provide English translations.)

Last question! Please write a self-reflection about what you learned in this module. That could mean summarizing the main points in your own words, or it could mean raising questions about something you didn't understand, problems or criticisms, pointing out something you disagreed with, suggesting some further issue that builds off of the things in this module, etc.

When you finish this activity, you are done with the module (assuming all your work on this and the previous tasks has been satisfactory). If you are interested in leading a discussion on this module, you can go on to see the suggested discussion topics. Otherwise, you can return to the module homepage to review this module, or return to the class homepage to select a different module or assignment to do now.


by Stephen Politzer-Ahles. Last modified on 2021-07-13. CC-BY-4.0.