With the progress in machine translation, it becomes more subtle to develop the evaluation metric capturing the systems’ differences in comparison to the human translations. In contrast to the current efforts in leveraging more linguistic information to depict translation quality, this paper takes the thread of combining language independent features for a robust solution to MT evaluation metri...

A very high speed wireless data communication in the range of 1 Gb/s is required for next generation (4G) mobile communication systems. This paper addresses the problems and solutions associated with that need. A scheme called Decision Feedback Cancellation along with optimum adaptive process is discussed which offers an increase in capacity by ten folds over existing system without increase in...

Internet telephony end systems can take on a much larger role in providing services than in the PSTN. However, there are still a large number of services that are better provided by servers residing in the “network”. We analyze some sample services and discuss how they can be created in both architectures, using the SIP (Session Initiation Protocol) and DFC (Distributed Feature Creation) archit...

Abstract The specific topological changes in dynamic functional networks and their role cervical spondylotic myelopathy (CSM) brain function reorganization remain unclear. This study aimed to investigate the connection (dFC) of patients with CSM, focusing on temporal characteristics state patterns variability network organization. Eighty-eight CSM 77 healthy controls (HCs) were recruited for re...

Recently a few systems for automatically solving math word problems have reported promising results. However, the datasets used for evaluation have limitations in both scale and diversity. In this paper, we build a large-scale dataset which is more than 9 times the size of previous ones, and contains many more problem types. Problems in the dataset are semiautomatically obtained from community ...

With the growth of different search engines, it becomes difficult for an user to search particular information effectively. If a search engine could provide domain specific information such as that confines only to a particular topicality, it is referred to as domain specific engine. Applying the ranking model trained for broad-based search to a domain specific search does not achieve good perf...

Route instructions for pedestrians are usually better understood if they include references to landmarks, andmoreover, these landmarks should be as salient as possible. In this paper, we present an approach for automatically deriving a mathematical model of salience directly from route instructions given by humans. Each possible landmark that a person can refer to in a given situation is modell...

In this paper, we present Farasa, a fast and accurate Arabic segmenter. Our approach is based on SVM-rank using linear kernels. We measure the performance of the segmenter in terms of accuracy and efficiency, in two NLP tasks, namely Machine Translation (MT) and Information Retrieval (IR). Farasa outperforms or is at par with the stateof-the-art Arabic segmenters (Stanford and MADAMIRA), while ...

Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...