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Grammarian pro x review5/1/2023 Early machine learning methods cannot cover complex and diverse language models, and their accuracy is low, making it difficult to achieve satisfactory results. (3) There may be many errors in single-day sentences, which increase the difficulty of machine grammatical error correction. (2) The frequency of each error is relatively low, but the error modes are diverse. Without context, it is impossible to distinguish which word is wrong in the context. (1) Many grammatical errors are context-related. Automatic error correction in English writing is considered an extremely difficult thing, mainly for the following three reasons. Ĭommon types of English writing grammatical errors include article errors, preposition errors, verb morphological errors, noun singular and plural errors, and subject-predicate coincidence errors. Therefore, the breakthrough of this problem will greatly promote the application of computer-assisted English learning. ![]() It is not very practical in English learning. The error detection rate in the automatic checking function of English writing provided by in China is also relatively low. And the recognition rate of other errors is relatively low. For example, the grammatical error checking function in Microsoft Word cannot detect common grammatical errors such as subject-verb agreement and misuse of prepositions. However, some of the current commercial or open writing error detection and correction tools have relatively ordinary effects. If the computer can quickly identify writing errors in sentences and give reasonable suggestions for corrections in time, learners will have a better experience in English learning. However, the correction of grammatical errors in students' English writing is a boring and headache problem, and there is no mature solution at present. At present, there are relatively good commercial tools for word spelling error detection and correction. Įnglish writing inspection includes the structure and content analysis of the upper level, as well as the spelling and sentence grammar error detection and correction. With the advancement of science and technology and the development of natural language processing technology, the use of computers for automatic error correction of English writing becomes more feasible at this time. Therefore, it is particularly necessary to develop an automatic error correction model for English writing. In this way, students cannot get timely feedback on their writing, thus failing to achieve the purpose of autonomous learning. However, based on the teacher-student ratio, it is difficult for an English teacher to correct a large number of English compositions of each student. As we all know, in order to improve the level of English writing, students must do a lot of writing exercises. For students, due to the impact of mother tongue transfer, they often make some grammatical errors, which affect their expression. English test is an important item in the test of students' ability, and English writing ability is often the focus of the test of English proficiency. Now, China has become the country with the most English learners in the world. The output of each model is sent to the n-gram language model for scoring, and the highest score is selected as output.Īs one of the most widely used languages in the world, English plays a vital role in communication with the world. ![]() Statistical learning is combined with deep learning and adopted a model integration method. This paper uses the deep learning model of Seq2Seq_Attention model and transformer model to eliminate deep-level errors. This paper constructs an English writing error correction model and applies it to the actual system to realize automatic checking and correction of writing errors in English composition. This can not only be used for automatic inspection and proofreading of English texts but also enable students to achieve the purpose of autonomous practice. Therefore, it is extremely important to develop a model for correcting various writing errors in English writing. Especially in English writing, English learners will inevitably make various grammatical writing errors. However, grammar learning in English is a difficult and long process for English learners. As one of the most widely used languages in the world, English plays a vital role in the communication between China and the world.
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