Work in progress
The constituent order may have exegetical relevance.
The rough idea is to first determine the sets of clauses by constituent order. Secondly determine relative order of adjectives in phrases. Lastly perform statistic analysis on the percentate of certain phrase structures for the various constituent order types.
%load_ext autoreload
%autoreload 2
# Loading the Text-Fabric code
# Note: it is assumed Text-Fabric is installed in your environment
from tf.fabric import Fabric
from tf.app import use
# load the N1904 app and data
N1904 = use ("tonyjurg/Nestle1904GBI", version="0.4", hoist=globals())
Locating corpus resources ...
| Name | # of nodes | # slots/node | % coverage |
|---|---|---|---|
| book | 27 | 5102.93 | 100 |
| chapter | 260 | 529.92 | 100 |
| sentence | 5720 | 24.09 | 100 |
| verse | 7943 | 17.35 | 100 |
| clause | 16124 | 8.54 | 100 |
| phrase | 72674 | 1.90 | 100 |
| word | 137779 | 1.00 | 100 |
# The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer)
N1904.dh(N1904.getCss())
This code will produce .....
Thanks to Prof. Willem van Peursen (VU) for pointing me to the following:
In Peter James Silzer and Thomas John Finley, How Biblical Languages Work, there is a chapter on Putting Words together: phrases and clauses, which contains some observations on constitutent order (SVO, VSO etc.) and internal phrase structure (e.g. relative order of adjectives).
The scripts in this notebook require (beside text-fabric) the following Python libraries to be installed in the environment:
{none}
You can install any missing library from within Jupyter Notebook using eitherpip or pip3.