Turkish includes zero anaphors and pronouns in addition to overt ones. This work proposes Anaphor/Pronoun Assignment Filter (APAF) with a set of classified rules and a generation mechanism for pronominalization , pro-drop and anaphora generation adapting Centering Theory and Binding Theory principles. This filter can be used in a natural language generation system including the generation phase of a Machine Translation (MT) system. Keywords: Computational Linguistics, Natural Language Generation, Logic Programming