However, for small language papers, because of their relatively narrow research scope, there are relatively few relevant data and literature resources. When the duplicate checking system deals with papers in small languages, this leads to some difficulties. First of all, due to the limited resources of minority languages, the data set on which the duplicate checking system is based is not comprehensive enough, which may not cover all minority languages; Secondly, for the language structure and grammar rules of small languages, the duplicate checking system may not have corresponding models and algorithms, which leads to low accuracy of detection results.
In order to solve this problem, some academic institutions and commercial companies have begun to develop and launch duplicate checking systems for papers in minority languages. These systems can improve the detection accuracy of minority language papers by collecting more minority language literature resources, establishing minority language data sets and adopting specific language models and algorithms. However, due to the particularity of minority language papers, the development and maintenance costs of these systems are relatively high, and it may be necessary to charge or provide limited free services. The system can be used as a reference for duplicate checking, and ultimately it should be carried out according to the required duplicate checking system.
To sum up, most of the free paper duplicate checking systems on the market at present do not support the detection of small language papers or have low accuracy. However, with the emphasis on the study of minority languages and the progress of technology, it is believed that more duplicate checking systems will be developed in the future to meet the needs of academic circles for the detection of minority language papers.
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