There are several instances in PCT where you are given the opportunity to select sounds for an analysis based on shared features. This section describes the general interface used in all such instances. See also Sound Selection for general information on how to select individual segments for analysis, including using features to identify classes of segments.
In many cases, you will just want to select individual sounds for an analysis (e.g., [e] vs. [o]). Occasionally, however, it is useful to be able to compare classes of sounds that differ along some dimension (e.g., comparing front vs. back non-low vowels, i.e., [i, e] on the one hand vs. [u, o] on the other).
To do this in an analysis window, click on “Add pair of features” to open the “Select feature pair” dialogue box.
At the top of the box, there is a place to enter the feature(s) along which the pairs will have OPPOSITE values. No “+” or “-” value should be entered here; rather, it should just be the name of the feature (e.g., “back”). Note that currently, PCT has some ability to automatically detect redundant features within a given domain. For instance, if the example corpus is open and associated with SPE features, and one wanted to calculate the predictability of distribution of [i,e] on the one hand vs. [u, o] on the other, one would could enter either “back” or “round”, but would also have enter “-low” in the “Filter pairs” box. To accomplish the same thing with Hayes features, one needs to enter only one of “back, front, round, or labial.” On the other hand, if one wanted to calculate the predictability of distribution for high vowels [i, u] on the one hand and [e, o] on the other, one need only list the feature [high]. The automatic detection is based on the inventory size, so smaller inventories will have more detectable redundancies than larger inventories. Larger inventories will thus have to have more features entered for the segment sets to be selected.
As soon as a feature or set of features has been entered that describes two sets of sounds that differ on exactly the feature values for the listed features, the sounds themselves will be shown in the box under “First segments” and “Second segments.”
One can then filter the entire set by entering in specific values of other features. E.g., if one wanted to limit the comparison to [i] vs. [e], one could enter “high” in the “feature to make pairs” box and then [-round] in the “filter pairs” box. (Of course, in this case, it might be easier to simply select those two sounds, [i] and [e], directly as segments, but the same principle works for more complicated sets of segments.)
Once the correct segments are listed, click “Add” to add the pairs to the segment list in the original analysis dialogue box. If additional pairs are needed, one can click “Add and create another” instead.
Here’s an example of using both features and filters in the Lemurian corpus to select [o,u] vs. [e,i], to the exclusion of [w,j]: