# Your table...18 Lab Set 3
Note
The preview of this lab set is rendered in HTML. However, all assignments must be rendered in PDF for submission on Canvas. The textstat_tools repository is already set up to do this for you. Be sure to follow the directions including the installation of tinytex.
18.1 Dependency parsing
18.1.1 Task 1
From the keyness table (acad_v_fic), identify the preposition with the highest keyness value. Report the relevant statistics (including frequencies and dispersions) following the conventions described in Brezina.
Your response
Create a KWIC table (with the preposition as the node word and a context window of 3) of 10 rows.
Posit an explanation for the higher frequency of the preposition in the target corpus (academic writing) vs. the reference corpus (fiction).
Your response
18.1.2 Task 2
Calculate the mean length of the noun phrases in the 2 two text-types (acad_nps and fic_nps). Report the results and posit an explanation for the findings that connects to the previous findings related to prepositions.
Your response
18.2 Logistic regression
18.2.1 Task 1
Following the example in Brezina (pg. 129), report and briefly interpret the output of the regression model (wt_regs, line 245).
Your response
18.3 Task 2
Write a brief interpretation of the probability curves illustrated in Figure 5.
Your response
18.4 Multi-dimensional analysis
18.4.1 Task 1
Brezina similarly plots the Brown corpus registers on pg. 169. His process is a little different. Rather than extracting factor loadings from the Brown corpus, he uses the loadings from the original Biber data (some of which are listed on pg. 168).
Our loadings for dimension 1 are similar to Biber’s, though with some differences. Likewise, the resulting plot is similar to the one on pg. 169. Why is this the case, do you think? (If you want to check Biber’s description of his corpus, it’s on pg. 66 of his book.)
Your response
18.4.2 Task 2
Using information from the factor loadings, the positions of the disciplines along the dimension, and KWIC tables, name dimension 1 following the X vs. Y convention. In a couple of sentences, explain your reasoning.
Your response