Обнаружение грамматических ошибок

We present a study of the impact of morpho- logical and syntactic ambiguity in the process of grammatical error detection. We will present three different systems that have been devised …...

We propose an approach to correcting spelling errors and assigning part-of-speech (POS) tags simultaneously for sentences written by learners of English as a second language (ESL). In ESL writing, there …...

Many evaluation issues for grammatical error detection have previously been overlooked, making it hard to draw meaningful comparisons between different approaches, even when they are evaluated on the same corpus. …...

We investigate grammatical error detec- tion in spoken language, and present a data-driven method to train a dependency parser to automatically identify and label grammatical errors. This method is ag- …...

AbstractThe appropriate use of collocations is a challenge for second language acquisition. However, high quality and easily accessible Chinese collocation resources are not available for both teachers and students. This …...

AbstractLearning attention functions requires large volumes of data, but many NLP tasks simulate human behavior, and in this paper, we show that human attention really does provide a good inductive …...

AbstractIn this paper, we explore the capacity of a language model-based method for grammatical error detection in detail. We first show that 5 to 10% of training data are enough …...

AbstractTargeted studies testing knowledge of subject-verb agreement (SVA) indicate that pre-trained language models encode syntactic information. We assert that if models robustly encode subject-verb agreement, they should be able to …...

AbstractSyntactic information has been proved to be useful for transformer-based pre-trained language models. Previous studies often rely on additional syntax-guided attention components to enhance the transformer, which require more parameters …...