A Quantitative Approach to the Study on Length-Frequency Relationship of English Patterns

As a master of lexicology and corpus-driven linguistic studies, pattern grammar shares the features concern on collocation approximation to natural language, which provides an optimization idea for extensively used phrase structure dependency in language processing. This research adopts methods quantitative linguistics, taking patterns as focus explore length-frequency relationship patterns, verify Zipf law synergic model respect analyze usage characteristics different registers. The results have demonstrated that Zipf's is also applicable shows preferable goodness fit description relations. study bidirectional contributions between length frequency. In addition, it offers refinement method application