Application of GLR Algorithm in Digital Intelligent Recognition and Machine Translation Re-Ranking

Aiming at the limitations of traditional methods in dealing with complex grammatical structures and multiple meanings, the study uses a modified GLR algorithm (Generalised Left-to-right Reduce) to construct an efficient model for English translation with intelligent recognition. This model effectively solves the problem of ambiguity in the language by bottom-up analysis of sentences and maintenance of multiple parse trees. The GLR algorithm was used to re-rank the candidate translations in the process of machine translation re-ranking, which resulted in a significant improvement in the accuracy and performance of the translation results. The results of the study show that the recognition accuracy of the improved GLR algorithm reaches 88.93%. The study proves that the improved GLR algorithm has significantly optimised the quality of machine translation while strengthening the recognition ability of digital intelligence, bringing a new breakthrough in the field of natural language processing.