انجمن کامپیوتر ایران

PEnT1 is an automatic English to Persian text translator. It translates simple English sentences into Persian, exploiting a combination of rule based and semantic approaches. It covers all the twelve tenses in English in both passive and active verbs for indicative, negative, interrogative sentences. In this paper, introducing PEnT1, we propose a new WSD method by presenting a hybrid measure to score different senses of a word. We also discuss prototyping some linguistic resources to test our methods.

The dynamic nature of service-oriented architecture (SOA), leads to a need for special attention about the turbulence of the quality attributes (or non-functional requirements) of software during the dynamic changes. If there exists a method for monitoring the whole quality of a service-oriented software, the service selector component of the architecture, which has the responsibility of choosing the best candidate service at runtime, can be aware of the quality state of the whole software at any moment of decision. In this paper, we have focused on the overall quality of an architecture which consists of multiple independent services and present a new method for tracing quality attributes in service oriented architecture based on Graph Transformation System (GTS) as a formal approach.