This paper reports on measures to improve the quality of MT systems, by using a hybrid system architecture which adds corpus-based and statistical components to an existing rulebased system backbone. The focus is on improving the accuracy of the dictionary resources.

The note reports on the current status of an implementation of a rulebased negotiation mechanism in a model e-commerce multi-agent system. Here, we briefly describe the conceptual architecture of the system and its initial implementation utilizing JADE and JESS. A particular negotiation scenario involving English auctions performed in parallel is also discussed.

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

development of an autonomous weeding machine requires a vision system capable of detecting and locating the position of the crop. it is important for the vision system to be able to recognize the accurate position of the crop stem to be protected during weeding. several shape features of corn plants and common weed species in the location were extracted by means of morphological operations. eff...

The interest setting of a central bank can be explained using rule-based monetary policy. A rulebased policy framework considers major economic variables to make recommended rate. In an economy, the fluctuations in are vital indicators that signal action from bank. this paper, we scrutinize short-term rate European Central Bank (ECB) based on observed conditions. We have our analysis simple Tay...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...

breast cancer is the second largest cause of cancer deaths among women. at the same time, it is also among the most curable cancer types if it can be diagnosed early. this paper presents a novel hybrid intelligent method for recognition of breast cancer tumors. the proposed method includes three main modules: the feature extraction module, the classifier module and the optimization module. in t...