This study aimed at investigating the effects of grammatical error correction on EFL learners’ accuracy. Twenty-two male and female senior students were chosen randomly to respond to a questionnaire investigating their beliefs about immediate grammatical error correction.  Actually, the study was conducted in order to answer this question: what is the effect of grammatical error feedback on stu...

This paper focuses on an error-corrective method through reranking of hypotheses in speech recognition. Some recent work investigated corrective models that can be used to rescore hypotheses so that a hypothesis with a smaller error rate has a higher score. Discriminative training such as perceptron algorithm can be used to estimate such corrective models. In discriminative training, how to cho...

The standard method of building compact triangulated surface approximations to terrain surfaces (TINs) from dense digital elevation models(DEMs) adds points to an initial sparse triangulation or removes points from a dense initial mesh. Typically, in each triangle in the current TIN, the worst tting point, in terms of vertical distance, is selected. The order of insertion of the points is deter...

This study aimed at investigating the effects of grammatical error correction on EFL learners’ accuracy. Twenty-two male and female senior students were chosen randomly to respond to a questionnaire investigating their beliefs about immediate grammatical error correction.  Actually, the study was conducted in order to answer this question: what is the effect of grammatical error feedback on stu...

Certain physical aspects of quantum error correction are discussed for a quantum computer (n-qubit register) in contact with a decohering environment. Under rather plausible assumptions upon the form of the computer-environment interaction, the efficiency of a general correcting procedure is evaluated as a function of the spontaneous-decay duration and the rank of errors covered by the procedur...

The demand of reliable statistics for small areas, when only reduced sizes of the samples are available, has promoted the development of small area estimation methods. In particular, an approach that is now widely used is based on linear mixed models. Chambers & Tzavidis (2006) have recently proposed an approach for small area estimation that is based on M-quantile models. However, when the fun...

Since spontaneous utterances include many variations, speakerand task-independent general models do not work well. This paper proposes combining cluster-based language and acoustic models based on the framework of Massively Parallel Decoder (MPD). The MPD is a parallel decoder that has a large number of decoding units, in which each unit is assigned to each combination of element models. It run...