Abstract
This chapter deals with corpus-based quantitative analysis on hedges and shifting. In the first place, it briefly introduces how to run the self-built corpus in Jupyter Notebook where Python code is written beforehand according to our research purpose. Then, an overview is given of the basic information in CECIC, such as token, type, type/token ratio, and standardized type/token ratio in both the Chinese corpus and the English corpus respectively. In what follows, efforts are made to investigate the vertical distribution of hedges in both Chinese and English corpuses, that is, the total number of hedges, and the number of hedges in the four different categories. Then, Paired-sample T tests are carried out to seek data regularities and to check for significant differences between corresponding hedges in Chinese and English from each category. In addition, the horizontal observation from Chinese to English is described, especially how hedges are processed by interpreters. It has been observed that interpreters may have four alternatives to render hedges, namely, addition, abridgement, substitution and equivalence. Lastly, this chapter examines whether there are some hedges shifting regularities in additions, abridgements, substitutions, and equivalences.
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Notes
- 1.
According to The Statistics Glossary (2017), a pair-sample T test is used to determine whether there is a significant difference between the average values of the same measurement made under two different conditions. Both measurements are made on each unit in a sample, and the test is based on the difference between these two values. The usual hypothesis is that the difference in the means values is zero.
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Hu, J. (2022). Corpus-Based Quantitative Analysis on Hedges and Shifting. In: Hedges in Chinese-English Conference Interpreting. SpringerBriefs in Linguistics. Springer, Singapore. https://doi.org/10.1007/978-981-19-1442-3_5
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DOI: https://doi.org/10.1007/978-981-19-1442-3_5
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