Data for modified antecedents analysis.xlsx (11.92 kB)View fileThis item contains files with download restrictions
DATASET
Data for RCs' antecedents and relativizers structural relationship analysis.xlsx (12.89 kB)View fileThis item contains files with download restrictions
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Data for relative clause's position analysis.xlsx (11.56 kB)View fileThis item contains files with download restrictions
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Data for that-syntactic functions analysis.xlsx (12.87 kB)View fileThis item contains files with download restrictions
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Figure 1 The number of that’s syntactic functions and head nouns’ (in)animacy.pdf (93.61 kB)View fileThis item contains files with download restrictions
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Figure 2 The distribution of RC’s position.pdf (92.86 kB)View fileThis item contains files with download restrictions
DATASET
All-data-tidy-format-christina et al-2021.xlsx (12.79 kB)View fileThis item contains files with download restrictions
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Datasets and figures for A Corpus-Based Syntactic Analysis of That-Relative Clause in the Corpus of Contemporary American English (COCA)
This is the data repository for an undergraduate thesis and a paper entitled A Corpus-Based Syntactic Analysis of That-Relative Clause in the Corpus of Contemporary American English (COCA). If you use the data and figures in this repository for your research, please cite this work as follows:
Christina, Silvia; Rajeg, Gede Primahadi Wijaya; Netra, I Made (2021): Datasets and figures for A Corpus-Based Syntactic Analysis of That-Relative Clause in the Corpus of Contemporary American English (COCA). figshare. Dataset. https://doi.org/10.6084/m9.figshare.14701392
First supervisor: Dr. I Made Netra
Second supervisor: Gede Primahadi Wijaya Rajeg, Ph.D.
The analysed data in this repository were randomly taken from the Corpus of Contemporary American English (Davies, 2010) which can be accessed through https://www.english-corpora.org/coca/. Kindly cite COCA as follows if you use COCA for your research:
Davies, M. (2010) ‘The Corpus of Contemporary American English as the first reliable monitor corpus of English’, Literary and Linguistic Computing, 25(4), pp. 447–464. doi: 10.1093/llc/fqq018.