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This article reports some initial results from the collaborative work on converting SWBD-DAMSL annotation scheme used in the Switchboard Dialogue Act Corpus to ISO DA annotation framework, as part of our on-going research on the interoperability of standardized linguistic annotations. A qualitative assessment of the conversion between the two annotation schemes was performed to verify the applicability of the new ISO standard using authentic transcribed speech. The results show that in addition to a major part of the SWBD-DAMSL tag set that can be converted to the ISO DA scheme automatically, some problematic SWBD-DAMSL tags still need to be handled manually. We shall report the evaluation of such an application based on the preliminary results from automatic mapping via machine learning techniques. The paper will also describe a user-friendly graphical interface that was designed for manual manipulation. The paper concludes with discussions and suggestions for future work.