Update docs/src/implementations.md

Co-authored-by: Seth Axen <seth@sethaxen.com>

Author: vpuri3

docs/src/implementations.md

@@ -32,7 +32,7 @@ To define a new FFT implementation in your own module, you should
 
 * You can also define similar methods of `plan_rfft` and `plan_brfft` for real-input FFTs.
 
-* To enable automatic computation of adjoint plans via [`Base.adjoint`](@ref) (used in rules for reverse-mode differentiation), define the trait `AbstractFFTs.ProjectionStyle(::MyPlan)`, which can take values:
+* To enable automatic computation of adjoint plans via [`Base.adjoint`](@ref) (used in rules for reverse-mode differentiation), define the trait `AbstractFFTs.ProjectionStyle(::MyPlan)`, which can return:
     * `AbstractFFTs.NoProjectionStyle()`,
     * `AbstractFFTs.RealProjectionStyle()`, for plans that halve one of the output's dimensions analogously to [`rfft`](@ref),
     * `AbstractFFTs.RealInverseProjectionStyle(d::Int)`, for plans which expect an input with a halved dimension analogously to [`irfft`](@ref), where `d` is the original length of the dimension.