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Published in: Cluster Computing 4/2019

03-03-2018

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

Author: Lili Wei

Published in: Cluster Computing | Special Issue 4/2019

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Abstract

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.

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Metadata
Title
Study on the application of cloud computing and speech recognition technology in English teaching
Author
Lili Wei
Publication date
03-03-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 4/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2115-1

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