This paper describes the Nara Institute of Science and Technology (NAIST) error correction system in the Helping Our Own (HOO) 2012 Shared Task. Our system targets preposition and determiner errors with spelling correction as a pre-processing step. The result shows that spelling correction improves the Detection, Correction, and Recognition Fscores for preposition errors. With regard to preposi...

Background: Correction of deformities around the knee joint may prevent or delay the onset of osteoarthritis or mitigate its effects. Accurate correction of such deformities without production of secondary deformities depends on precise localization and quantification of the deformities. Methods: We corrected deformities around the knee using acute correction with focal dome osteotomy in 21 seg...

In this article, we propose exponentially fitted error correction methods(EECM) which originate from the error correction methods recently developed by the authors (see [10, 11] for examples) for solving nonlinear stiff initial value problems. We reduce the computational cost of the error correction method by making a local approximation of exponential type. This exponential local approximation...

One primary disadvantage of spiral imaging is blurring artifact due to off-resonance effects. The conventional frequency segmented off-resonance correction method that is performed over the entire image is computationally intense due to the large number of fast Fourier transforms (FFTs) required. Here, a new fast off-resonance correction method, block regional off-resonance correction (BRORC), ...

Operative correction for infantile and adolescent tibia vara has been described using both external and internal fixation. Gradual correction using a circular fixator offers the advantage of accurate coronal, sagittal, and axial plane correction without significant soft tissue dissection. This study evaluated the use of six-axis deformity analysis and the Taylor Spatial Frame (TSF) for the corr...

We performed corpus correction on a modality corpus for machine translation by using such machine-learning methods as the maximum-entropy method. We thus constructed a high-quality modality corpus based on corpus correction. We compared several kinds of methods for corpus correction in our experiments and developed a good method for corpus correction.

In digital communication forward error correction methods have a great practical importance when channel is noisy. Convolutional error correction code can correct both type of errors random and burst. Convolution encoding has been used in digital communication systems including deep space communication and wireless communication. The error correction capability of convolutional code depends on ...