With the development of information technology and the popularization of the Internet, the academic community has paid more and more attention to the importance of duplicate checking. The purpose of plagiarism check is to detect plagiarism in academics and ensure the integrity and academic quality of the academic community. However, the current plagiarism checking system is mainly aimed at the repetition and similarity of texts, and there are still certain limitations in the detection of poetic works.
First of all, the traditional plagiarism checking system is mainly based on the similarity matching method of words, and the text strings in the comparison are compared with the existing databases, so as to determine whether there is plagiarism. However, the peculiarities of poetry make it impossible to simply convert them into strings of words for comparison. Poetic works usually contain rich artistic conceptions and emotional expressions, and pay more attention to poetic expression rather than literal similarity. Therefore, it is difficult for traditional methods to accurately identify the similarity of poetic works.
Secondly, poetry is an important part of traditional Chinese culture, and its creation and inheritance are unique and personalized, and do not pursue similarity with other people's works, so it is contrary to the original intention of the first duplicate check. The traditional plagiarism checking system is designed to detect plagiarism, while the characteristics of poetic works lie in the originality and uniqueness of creation, and the pursuit of personalized expression and experience. Therefore, it is not of practical significance and value to use the current plagiarism checking system to detect poems.
Finally, due to the great difference between the creation method of poetry and academic research, it is difficult for the plagiarism checking system to identify and deal with the unique rhetorical techniques and rhyme rules in poetry. Poetic works often use rhetorical techniques such as antiphons, rhymes, and evenness, which make the works more beautiful in rhyme. However, the traditional plagiarism checking system does not take these factors into account, and it is difficult to judge the accuracy of the poems.
To sum up, the traditional plagiarism checking system is not suitable for the detection of poetic works. Considering the uniqueness and particularity of poetry works, it is very necessary to design a plagiarism checking system specifically for poetry. This requires in-depth research in algorithms, datasets, etc., to achieve accurate detection and protection of poetic works.