首页|Henan Polytechnic Institute Researchers Target Intelligent Systems (English gram mar intelligent error correction technology based on the n-gram language model)
Henan Polytechnic Institute Researchers Target Intelligent Systems (English gram mar intelligent error correction technology based on the n-gram language model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on intelligent systems is now available. According to news reporting originating from Nanyang, People’s Re public of China, by NewsRx correspondents, research stated, “With the developmen t of the Internet, the number of electronic texts has increased rapidly. Automat ic grammar error correction technology is an effective safeguard measure for the quality of electronic texts.” Our news reporters obtained a quote from the research from Henan Polytechnic Ins titute: “To improve the quality of electronic text, this study introduces a movi ng window algorithm and linear interpolation smoothing algorithm to build a Cn-g ram language model. On this basis, a syntactic analysis strategy is introduced t o construct a syntactic error correction model integrating Cn-gram and syntactic analysis, and English grammar intelligent error correction is carried out throu gh the model. The results show that compared with the Bi-gram and Tri-gram, the precision of the Cn-gram model is 0.85 and 0.91% higher, and the F 1 value is 0.97 and 1.14% higher, respectively. Compared with the results of test set Long, the Cn-gram model has better performance on verb error correction of the Short test set, and the precision rate, recall rate, and F1 v alue are increased by 0.86, 3.94, and 1.87%, respectively. The comp arison of the precision, recall rate, and F1 value of the proposed grammar error correction model on the complete test set shows that the precision of the study is 19.10 and 5.41% higher for subject-verb agreement errors. The recall rate is 9.55 and 10.77% higher, respectively; F1 values are higher by 12.65 and 10.59%, respectively.”
Henan Polytechnic InstituteNanyangPe ople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningTechnolog y
NETL
NSTL
