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Plain Text - 12.1 KB -
MD5: efa866e21ab88f46dc40b77da1e0a5fa
The ReadMe file |
Plain Text - 630.9 KB -
MD5: 2fc007d3e441357673739880c17010e7
This file contains the metaphor identification decisions made by two raters (S and T) for each lexical unit in the analyzed text: 2068 tokens in all from texts in 4 different text registers (academic discourse (= aca), conversation (= conv), fiction (= fic), and news (= news)--roughly 500 tokens per text type). The analysis of the 2068 coders was... |
R Syntax - 7.2 KB -
MD5: ae5066c8fbd747ccb823ec82683c5922
Contains the R code for the analysis of interrater reliability (two raters) and visualization of the results.
This R code requires the data in the file 01_MIPVU_coders_data.txt
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Plain Text - 71.6 KB -
MD5: 2e5a30c9b47271c20949a7fc90abc8ee
This file contains the 'master' dataset with the finalized decisions about metaphorical status for each of the 2068 tokens analyzed (divided between the four text registers, approximately 500 tokens each: academic discourse, (transcribed) conversation, fiction and news), and for each of the four dictionaries being tested (Cambridge, Collins, Longma... |
R Syntax - 5.4 KB -
MD5: 8e3d35a59e723b354d702ab21397d877
Contains the R code calculating the disagreement scores between the four dictionaries. Each score represents how often a dictionary's metaphoricity judgment diverged from the other three, ranging from 0 (full agreement) to 3 (complete disagreement).
This R code also generates a figure visualizing the results.
This R code requires the data in the fi... |
Plain Text - 5.5 KB -
MD5: 77b915adfb1569a3e3a6318b4b0d035c
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Adobe PDF - 408.0 KB -
MD5: 68b7375a97f7f63db260c7b5c26d45a8
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Plain Text - 13.4 KB -
MD5: 56ad3945e16754c0ba34cf2197730461
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Adobe PDF - 38.9 KB -
MD5: 047d7ceaa920b03ff6754c75f393d7f8
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Comma Separated Values - 61.7 MB -
MD5: bb938623bda8ef9e9e99dbd0f97a4568
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