Grammatical error correction (GEC) greatly benefits from large quantities of high-quality training data. However, the preparation a amount labelled data is time-consuming and prone to human errors. These issues have become major obstacles in GEC systems. Recently, performance English systems has drastically been enhanced by application deep neural networks that generate synthetic limited sample...

In this paper we show how the fault–tolerant error correction scheme recently proposed by DiVincenzo and Shor may be improved. Our scheme, unlike the earlier one, can also deal with a single error that might occur during the gate operations that are required for the implementation of the error correction and not only in–between the gates and hence presents an improvement towards enabling error ...

Automated grammatical error correction for language learners has attracted a lot of attention in recent years, especially after a number of shared tasks that have encouraged research in the area. Treating the problem as a translation task from 'incorrect' into 'correct' English using statistical machine translation has emerged as a state-of-the-art approach but it requires vast amounts of corre...

Mesh generation for process simulation is a difficult task, complicated by both the moving boundaries and the time dependence of the solutions. For both computational and ease of use reasons, automatic mesh generation and discretization error control is desirable. This paper describes an approach based on local error estimates to refine the mesh. This paper extends our previous work to two-dime...

The main goal of this paper is to study statistical indices and evaluate AGC indices in power system which has large penetration of the WTGs. Increasing penetration of wind turbine generations, needs to study more about impacts of it on power system frequency control. Frequency control is changed with unbalancing real-time system generation and load . Also wind turbine generations have more flu...