  In recent years, several systems of automated metric analysis of Spanish
poetry have emerged. These systems rely on complex methods of syllabification
and stress assignment, which use PoS-tagging libraries, whose computational
cost is high. This cost increases with the calculation of metric ambiguities.
Furthermore, they do not consider determining issues in syllabic count such as
the phenomena of compensation between hemistichs of verses of more than eleven
syllables. However, it is possible to carry out an informative and accurate
metric analysis without using these costly methods. We propose an algorithm
that performs accurate scansion (number of syllables, stress pattern and type
of verse) without syllabification. It addresses metric ambiguities and takes
into account the hemistichs compensation. Our algorithm outperforms the current
state of the art by 2% in fixed-metre poetry, and 25% in mixed-metre poetry. It
also runs 21 and 25 times faster, respectively. Finally, a desktop application
is offered as a tool for researchers of Spanish poetry.
