The z-c mutation rule (RULE 4) ensures that the consonant z becomes a c before front vowels, but remains as a z otherwise.  I utilize the defined FRONT subset.  Similar to that of RULE 3 above, the following is the graphical form of the implemented finite state automaton:

The pluralization rule (RULE 5) ensures that pluralizing (adding s) to a noun that ends in a consonant induces an e to appear on the surface, preceding the s.  I utilize the defined CONSONANTS subset.  The following is the graphical form of the implemented finite state automaton (please note that CONSONANTS:CONSONANTS is represented as CONS:CONS):

The NUMBER description specifies whether the noun being handled is singular or plural, the V_SUFFIX1 description specifies the verb conjugation (suffixes) for ar verbs, the V_SUFFIX2 similarly specifies for er verbs, and the V_SUFFIX3 is for ir verbs.  The N_ROOT description provides the root of the noun being handled and its English meaning, the V_ROOT provides similar information when a verb is being handled, and the END description indicates the arc the state transition will follow at the end of an analysis.

E.  Issue during development

The only major issue that I faced during development was the need to revise my initial formulation of the z-c mutation rule (RULE 4) due to its interaction with the pluralization rule (RULE 5).  Initially, RULE 4 did not contain the arcs that are labeled as +:e in its graphical form shown above.  But since the rules are run simultaneously, and consonant changes from z to c need the opportunity to be reflected on the surface before es is added to pluralize a noun with a root ending in z, the revision was implemented.

F.  System extendibility

If one had to add more nouns and verbs to the system (without extending the morphological processes that can be handled), he only needs to list the roots of those additional nouns and verbs (specifying verb type ar(1), er(2), or ir(3)) under the N_ROOT and V_ROOT transition arc descriptions, respectively, within the lexicon file spanishlexBo.lex.  My system is thus highly extendible to include more nouns and verbs, although the task of inclusion could possibly be made even easier with 1) a method for automatically specifying verb type and 2) a collaborative function (either within the system or separately) that outputs the root to any input verb or noun that needs to be included, then in turn automatically includes the outputted root under the respective transition arc description in the lexicon file.