  Grammar-based compression is a widely-accepted model of string compression
that allows for efficient and direct manipulations on the compressed data.
Most, if not all, such manipulations rely on the primitive \emph{random access}
queries, a task of quickly returning the character at a specified position of
the original uncompressed string without explicit decompression. While there
are advanced data structures for random access to grammar-compressed strings
that guarantee theoretical query time and space bounds, little has been done
for the \emph{practical} perspective of this important problem. In this paper,
we revisit a well-known folklore random access algorithm for grammars in the
Chomsky normal form, modify it to work directly on general grammars, and show
that this modified version is fast and memory efficient in practice.
