Study on the application of cloud computing and speech recognition technology in English teaching

Together with the development of information technology, the informationization degree of English teaching is progressively improved. Cloud computing and speech recognition technology have already become the newly emerging teaching methodologies in English teaching. Targeted at words segmentation technology-the key and difficult point in speech recognition technology, this thesis conducts a focused research and puts forward a new Chinese words segmentation method, with the aim of realizing cascaded Chinese words segmentation algorithm in combination with the merits of probability statistics, string matching and semantic comprehension and deriving optimal words segmentation results. As proved by the experiment, the recall rate and accuracy rate of the algorithm respectively reach 98.59 and 98.89%, approximately 1-2 percentage points higher than general method. After the application on the cloud computing platform, the speed of words segmentation simultaneously attains great advancement.