#!/usr/bin/env python # coding: utf-8 # # Appositions (Nestle1904LFT) # ## Table of content # * 1 - Introduction # * 1.1 - Why is this relevant? # * 1.2 - Translating into Text-Fabric queries # * 2 - Load Text-Fabric app and data # * 3 - Performing the queries # * 3.1 - Identify appositions in Mat. 1:1 for LFT # * 3.2 - Other interpretation (GBI) # * 4 - Discussion # * 5 - Atribution and footnotes # * 6 - Required libraries # # 1 - Introduction # ##### [Back to TOC](#TOC) # # Appositions are grammatical constructs where a word or phrase is placed next to another word or phrase to explain or clarify its meaning. Consider the following text from Matthew 1:1: # # > Βίβλος γενέσεως Ἰησοῦ Χριστοῦ υἱοῦ Δαυεὶδ υἱοῦ Ἀβραάμ. # # In this verse there are two appositions to 'Ἰησοῦ Χριστοῦ': 'υἱοῦ Δαυεὶδ' and 'υἱοῦ Ἀβραάμ'. # # ## 1.1 - Why is this relevant? # # In the context of the Bible, the proper analysis of appositions contributes to a more accurate understanding of the text, serving various purposes. One such purpose is clarifying ambiguous references. For instance, in Jude 1:9, the apposition 'archangel' explains which 'Michael' the verse refers to. Additionally, appositions provide further details on important characteristics, roles, or relationships. For example, in Mat. 1:1, the significance of the genealogical relation between Jesus, David, and Abraham is emphasized. # ## 1.2 - Translating it into a Text-Fabric query # # # # ## 2 - Load app and data # ##### [Back to TOC](#TOC) # In[1]: get_ipython().run_line_magic('load_ext', 'autoreload') get_ipython().run_line_magic('autoreload', '2') # In[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 # In[3]: # load the N1904 app and data N1904 = use ("tonyjurg/Nestle1904LFT", version="0.7", hoist=globals()) # In[4]: # The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer) N1904.dh(N1904.getCss()) # In[5]: # Set default view in a way to limit noise as much as possible. N1904.displaySetup(condensed=True, multiFeatures=False,queryFeatures=False) # # 3 - Performing the queries # ##### [Back to TOC](#TOC) # ## 3.1 - Identify appositions in Mat. 1:1 for LFT # # The following will select the first verse of Matthew and put it into the list VerseResult. # In[6]: # Define the query template VerseQuery = ''' book book=Matthew chapter chapter=1 verse verse=1 ''' # The following will create a list containing ordered tuples consisting of node numbers of the items as they appear in the query VerseResult = N1904.search(VerseQuery) # First print the text of the verse: # In[7]: # The verse node is the third item (hence the '2') of the first tuple (hence the '0') T.text(VerseResult[0][2]) # Now lets show the synatactical tree for this verse: # In[8]: # Print the result # Note the options "condensed=True, multiFeatures=False,queryFeatures=False" are included below due to the earlier N1904.displaySetup(...) N1904.show(VerseResult) # ## 3.2 - Other interpretation (GBI) # ##### [Back to TOC](#TOC) # The LFT Text-Fabric data presents 'υἱοῦ Δαυεὶδ' as apposition to 'Ἰησοῦ Χριστοῦ' and 'υἱοῦ Ἀβραάμ' as apposition to 'Ἰησοῦ Χριστοῦ υἱοῦ Δαυεὶδ'. Another choice of apposition can also be argued: both 'υἱοῦ Δαυεὶδ' and 'υἱοῦ Ἀβραάμ' being appositions to 'Ἰησοῦ Χριστοῦ'. This actualy the case in the XML data for the GBI nodes. # # See the following simplified XML code of file [`01-matthew.xml`](https://github.com/tonyjurg/Nestle1904GBI/blob/main/resources/sourcedata/apr_6_2023/01-matthew.xml): # ``` # # # # # # # Βίβλος # # # # γενέσεως # # # # # # Ἰησοῦ # # # Χριστοῦ # # # # # υἱοῦ # # # Δαυεὶδ # # # # υἱοῦ # # # Ἀβραάμ. # # # # # # # # # # ``` # The appostion structure can be visualized by the following image: # # # # # # # 4 - Discussion # ##### [Back to TOC](#TOC) # # There is inherent ambiguity in sentences where the text includes a nested apposition. A comparison of how the GBI and LFT treebanks render these structures highlights this issue. It appears that grammatical rules alone cannot decisively determine the 'correct' rendering in such cases. # # 5 - Footnotes and attribution # ##### [Back to TOC](#TOC) # # None. # # 6 - Required libraries # ##### [Back to TOC](#TOC) # # 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 either`pip` or `pip3`. # In[ ]: