This study evaluated the accuracy of automated methods of grammatical categorization ("tagging") of transcribed conversational language samples from 30 normally developing children. On a word-by-word basis, automated accuracy levels averaged 95.1%; accuracy of tagging whole utterances averaged 77.7%. Results suggest that further improvement of automated grammatical tagging is necessary before widespread use is warranted. (Author/DB)