diff --git a/regexps.qmd b/regexps.qmd
index 3e1b029..9316135 100644
--- a/regexps.qmd
+++ b/regexps.qmd
@@ -252,7 +252,8 @@ These functions are naturally paired with `mutate()` when doing data cleaning, a
 ### Extract variables
 
 The last function we'll discuss uses regular expressions to extract data out of one column into one or more new columns: `separate_wider_regex()`.
-It's a peer of the `separate_wider_location()` and `separate_wider_delim()` functions that you learned about in @sec-string-columns. These functions live in tidyr because the operates on (columns of) data frames, rather than individual vectors.
+It's a peer of the `separate_wider_location()` and `separate_wider_delim()` functions that you learned about in @sec-string-columns.
+These functions live in tidyr because the operates on (columns of) data frames, rather than individual vectors.
 
 Let's create a simple dataset to show how it works.
 Here we have some data derived from `babynames` where we have the name, gender, and age of a bunch of people in a rather weird format[^regexps-5]: