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We describe a new technique for automatically identifying errors in an electronic pronunciation dictionary which analyzes the source of conflicting patterns directly. We evaluate the effectiveness of this technique in two ways: we perform a controlled experiment using artificially corrupted data (allowing us to measure precision and recall exactly); and then apply the technique to a real-world pronunciation dictionary, demonstrating its effectiveness in practice. We also introduce a new freely available pronunciation resource (the RCRL Afrikaans Pronunciation Dictionary), the largest such dictionary that is currently available.