01644nas a2200229   4500008004100000245006000041210005900101260000900160300001400169490000700183520098400190653001001174653002101184653001101205653000901216653000801225100001601233700001601249700001201265700002001277856011701297       2012                        eng d00aNL2 Alloy: A tool to generate alloy from NL constraints0 aNL2 Alloy A tool to generate alloy from NL constraints  c2012  a365 - 3720 v103 aIn this paper, we present a novel approach to generate Alloy code from Natural Language (NL) constraints. The proposed research is basically an extension of two projects, NL2OCL and UML2Alloy.Our method uses Natural Language Processing (NLP) and Model Transformation (MT) to transform constraints expressed in NL to Alloy. We do not directly transform NL to Alloy, instead we use multiple intermediate translations such as NL2SBVR and SBVR2OCL and finally OCL2Alloy. Such intermediate translations help us to monitor the whole process of translation and produce intermediate artifacts such as OCL constraints, which can be used for documentation purposes. and ensure that actual semantics of NL have been transformed to Alloy. The generated Alloy code can then be used to check if the original NL constraints are consistent. We also introduce the use of OMG's standard SBVR in translation of NL to formal languages. The NL2Alloy approach is also implemented as an Eclipse plugin.10aAlloy10aNatural language10aNL2OCL10aSBVR10aUML1 aBajwa, I.S.1 aBordbar, B.1 aLee, M.1 aAnastasakis, K.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874825931&partnerID=40&md5=a6062c119677b77912bbf70d219d113201955nas a2200181   4500008004100000245009200041210006900133260000900202300001400211490000700225520135400232653001301586653002101599653001201620100001201632700001201644856011701656       2012                        eng d00aResearch and analysis of improved extraction based on information processing technology0 aResearch and analysis of improved extraction based on informatio  c2012  a142 - 1460 v103 aThis paper analyzes the problem of research topics. The key words are extracted from the academic papers published in the key journals based on information processing technology, and these words have the cooccurrence relationship between clustered. Research topics in the academic field analysis applications, researchers can provide a clear outline; in the information retrieval process, you can help clarify the information needs. We will apply the proposed method to ROCLING seminar papers on the data to extract the important field of computational linguistics research topics. The results show that this method can be applied to the special circumstances of domestic academic field, while taking out the key words in English and Chinese. the word has been said that the field of cluster results can also be an important research topic. These results in a preliminary validation of the method proposed in this paper the feasibility. It can also be found that application of computational linguistics research and practice are closely related, taking out many of the words in the cluster and machine translation, speech processing and information retrieval related to the calculation model in the language, grammar patterns and analysis, broken words and statistical language model type is the calculation is the subject of interest to linguists.10aAnalysis10aNatural language10aSeminar1 aWei, Y.1 aGuo, Y.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84866466102&partnerID=40&md5=408ac5cc2bfbffd4fed15d3005d825c2