Conversion is done by (i) collecting conversion candidates from various utterances on the Web (e.g., Twitter postings), which are annotated with their authors' personal attributes (this paper deals especially with gender, age, and area of residence), and (ii) using syntactic and semantic filters to suppress the generation of ill-formed utterances.
we conducted two experiments to investigate the performance of our proposed method of converting sentence-end expressions.