There are several problems in applying grammatical error correction (GEC) to a writing support system. One of them is the handling sentences middle input. Till date, performance GEC for incomplete not well-known. Hence, we analyze model sentences. Another problem speed. When speed slow, usability system limited, and user experience degraded. Therefore, this study, also focus on non-autoregressi...

the present study-both qualitative and quantitative--explored fifty efl learners’ preferences for receiving error feedback on different grammatical units as well as their beliefs about teacher feedback strategies. the study also examined the effect of the students’ level of writing ability on their views about the importance of teacher feedback on different error types. data was gathered throug...

This paper proposes a method for evaluating grammatical error detection methods to maximize the learning effect obtained by grammatical error detection. To achieve this, this paper sets out the following two hypotheses — imperfect, rather than perfect, error detection maximizes learning effect; and precisionoriented error detection is better than a recall-oriented one in terms of learning effec...

We investigate grammatical error detection in spoken language, and present a data-driven method to train a dependency parser to automatically identify and label grammatical errors. This method is agnostic to the label set used, and the only manual annotations needed for training are grammatical error labels. We find that the proposed system is robust to disfluencies, so that a separate stage to...

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...

Galois fields are widely used in cryptographic applications. The detection of an error caused by a fault in a cryptographic circuit is important to avoid undesirable behaviours of the system that could be used to reveal secret information. One of the methods used to avoid these behaviours is the concurrent error detection. Multiplication in finite field is one of the most important operations a...

This paper introduces the NLP-TEA 2015 shared task for Chinese grammatical error diagnosis. We describe the task, data preparation, performance metrics, and evaluation results. The hope is that such an evaluation campaign may produce more advanced Chinese grammatical error diagnosis techniques. All data sets with gold standards and evaluation tools are publicly available for research purposes.

This paper describes RACAI’s (Research Institute for Artificial Intelligence) hybrid grammatical error correction system. This system was validated during the participation into the CONLL’14 Shared Task on Grammatical Error Correction. We offer an analysis of the types of errors detected and corrected by our system, we present the necessary steps to reproduce our experiment and also the re-

This paper describes methods to recognize English utterances by Japanese learners as accurately as possible and detects grammatical errors from the transcription of the utterances. This method is a building block for the voice-interactive Computer-Assisted Language Learning (CALL) system that enables a learner to make conversation practice with a computer. A difficult point for development of s...

In the process of learning and using Chinese, foreigners may have grammatical errors due to negative migration of their native languages. Currently, the computer-oriented automatic detection method of grammatical errors is not mature enough. Based on the evaluating task ---CGED2016, we select and analyze the classification model and design feature extraction method to obtain grammatical errors ...