Chinese to Slavic Mongolian Named Entity Translation in cross Chinese and Slavic Mongolian information processing has a very important significance. However, using the machine translation method directly cannot achieve satisfactory result. In order to solve the above problem, a novel approach was proposed to extract Chinese-Slavic Mongolian Named Entity pairs automatically. Only the Chinese named entities need to be identified, then extracting all of the candidate named entity pairs using sliding window method based on HMM word alignment result. Finally filtering all of the candidate named entity translation units based on Max Entropy Model integrated with five features, and choose the most probable aligned Slavic Mongolian NEs to the Chinese NEs. Experimental results show that this approach outperforms HMM model, achieves high quality of Chinese-Slavic Mongolian named entity pairs with relatively high precision, even though sometimes the word alignment result is partially correct.

An integrated methodology framework was proposed to acknowledge the important role of cumulative environmental assessment (CEA) in the strategic environmental assessment of regional development plan (RDP). The developed CEA framework consisted of nine steps, including (a) analysis of regional development plan, (b) identification of environmental responses, (c) determination of CEA scales, (d) network analysis of pressures and responses, (e)baselines for CEA, (f) scenarios development, (g) cumulative assessment and early warning, (h) mitigative measures of environmental consequences, and (i) adaptive management. Scenario analysis and system dynamic (SD) models were integrated to deal with the uncertainties and dynamics in the RDP system. The cumulative environmental consequences at various temporal and spatial scales were assessed using the integrated models. The RDP of Zhengzhou Airport Zone (ZZAZ) was taken as a case and its CEA and early warning for regional air and ground water was carried out. Four scenarios were proposed after the comprehensive of ZZAZ’s RDP and the identification of environmental consequences. System dynamic model was developed for temporal and spatial CEA, combined with air and water mechanistic models. Several strategies were proposed based on CEA results to mitigate the consequences, including (a) adjustment of spatial ecological patterns at regional scale, (b) optimization of regional industries structure, (c) pollution control, and (d) adaptive management.