Notebook

Genitivus Objectivus or Subjectivus (Nestle1904LFT)¶

Work in progress!

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 - TBD
- 3.2 - TBD
4 - Discussion
5 - Atribution and footnotes
6 - Required libraries

1 - Introduction ¶

Back to TOC ¶

In Greek, the genitive case is a versatile grammatical form that can be used in various ways to express different relationships and meanings. Here are some common uses of the genitive case in Greek:

Possession: the phrase τοῦ λόγου means of the word. The genitive case τοῦ shows that something belongs to or is associated with the word.
Description: the phrase γλώσσης ποικίλης means of various languages. The genitive case ποικίλης describes the type of languages.
Source or Origin: the phrase ἀπὸ θεοῦ means from God. The genitive case θεοῦ denotes the source of the action or the origin of something.
Partitive Genitive: he phrase μέρος τοῦ σώματος means part of the body. The genitive case τοῦ σώματος signifies that the part belongs to the whole body.
Objective Genitive: the phrase ἀγάπη τοῦ θεοῦ means the love of God. The genitive case τοῦ θεοῦ shows that God is the object or recipient of the love. (can also be subjectivus!)

1.1 - Why is this relevant? ¶

In the Greek New Testament, the distinction between Genitivus Objectivus and Genitivus Subjectivus is primarily relevant from a theological perspective because it can provide insights into the relationships and roles of individuals and entities mentioned in biblical texts, including the issue of faithfulness to God versus faithfulness of God. The problem is however, that there is no morphological difference between the two.

The Genitivus Objectivus is used to indicate possession or belonging, where one entity possesses or is associated with another entity. On the other hand, the Genitivus Subjectivus expresses the subjective or active relationship of an individual or entity to the genitive noun, indicating the agent or doer of an action.

1.2 - Translating into Text-Fabric queries ¶

TBD

2 - Load Text-Fabric app and data ¶

Back to TOC ¶

In [1]:

%load_ext autoreload
%autoreload 2

In [1]:

# 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 [2]:

# load the N1904 app and data
N1904 = use ("tonyjurg/Nestle1904LFT", version="0.6", hoist=globals())

Locating corpus resources ...

The requested app is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app not found

Status: latest release online v0.6 versus None locally

downloading app, main data and requested additions ...

app: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app

The requested data is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6 not found

Status: latest release online v0.6 versus None locally

downloading app, main data and requested additions ...

data: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6

   |     0.21s T otype                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     2.30s T oslots               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.46s T verse                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.62s T word                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.65s T unicode              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.54s T after                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.63s T normalized           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.58s T wordtranslit         from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.59s T wordunacc            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s T chapter              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.56s T book                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |      |     0.06s C __levels__           from otype, oslots, otext
   |      |     1.79s C __order__            from otype, oslots, __levels__
   |      |     0.07s C __rank__             from otype, __order__
   |      |     3.36s C __levUp__            from otype, oslots, __rank__
   |      |     1.92s C __levDown__          from otype, __levUp__, __rank__
   |      |     0.22s C __characters__       from otext
   |      |     0.91s C __boundary__         from otype, oslots, __rank__
   |      |     0.04s C __sections__         from otype, oslots, otext, __levUp__, __levels__, book, chapter, verse
   |      |     0.22s C __structure__        from otype, oslots, otext, __rank__, __levUp__, book, chapter, verse
   |     0.44s T booknumber           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.50s T bookshort            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.47s T case                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.32s T clausetype           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.55s T containedclause      from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T degree               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.58s T gloss                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T gn                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.03s T headverse            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.33s T junction             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.58s T lemma                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.52s T lex_dom              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.53s T ln                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T markafter            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.45s T markbefore           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.45s T markorder            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T monad                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T mood                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.53s T morph                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.53s T nodeID               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.50s T nu                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s T number               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.45s T person               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.45s T punctuation          from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.67s T ref                  from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.67s T reference            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s T roleclausedistance   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T sentence             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.53s T sp                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.54s T sp_full              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.55s T strongs              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.46s T subj_ref             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.46s T tense                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.46s T type                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T voice                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.39s T wgclass              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.35s T wglevel              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.38s T wgnum                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.36s T wgrole               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.35s T wgrolelong           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T wgrule               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.37s T wgtype               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.55s T wordlevel            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.56s T wordrole             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.55s T wordrolelong         from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6

TF: TF API 12.1.5, tonyjurg/Nestle1904LFT/app v3, Search Reference
Data: tonyjurg - Nestle1904LFT 0.6, Character table, Feature docs

Node types

Name	# of nodes	# slots / node	% coverage
book	27	5102.93	100
chapter	260	529.92	100
verse	7943	17.35	100
sentence	8011	17.20	100
wg	105430	6.85	524
word	137779	1.00	100

Sets: no custom sets
Features:

Nestle 1904 (Low Fat Tree)

after

str

✅ Characters (eg. punctuations) following the word

book

str

✅ Book name (in English language)

booknumber

int

✅ NT book number (Matthew=1, Mark=2, ..., Revelation=27)

bookshort

str

✅ Book name (abbreviated)

case

str

✅ Gramatical case (Nominative, Genitive, Dative, Accusative, Vocative)

chapter

int

✅ Chapter number inside book

clausetype

str

✅ Clause type details (e.g. Verbless, Minor)

containedclause

str

🆗 Contained clause (WG number)

degree

str

✅ Degree (e.g. Comparitative, Superlative)

gloss

str

✅ English gloss

str

✅ Gramatical gender (Masculine, Feminine, Neuter)

headverse

str

✅ Start verse number of a sentence

junction

str

✅ Junction data related to a wordgroup

lemma

str

✅ Lexeme (lemma)

lex_dom

str

✅ Lexical domain according to Semantic Dictionary of Biblical Greek, SDBG (not present everywhere?)

str

✅ Lauw-Nida lexical classification (not present everywhere?)

markafter

str

🆗 Text critical marker after word

markbefore

str

🆗 Text critical marker before word

markorder

str

Order of punctuation and text critical marker

monad

int

✅ Monad (smallest token matching word order in the corpus)

mood

str

✅ Gramatical mood of the verb (passive, etc)

morph

str

✅ Morphological tag (Sandborg-Petersen morphology)

nodeID

str

✅ Node ID (as in the XML source data)

normalized

str

✅ Surface word with accents normalized and trailing punctuations removed

str

✅ Gramatical number (Singular, Plural)

number

str

✅ Gramatical number of the verb (e.g. singular, plural)

otype

str

person

str

✅ Gramatical person of the verb (first, second, third)

punctuation

str

✅ Punctuation after word

ref

str

✅ Value of the ref ID (taken from XML sourcedata)

reference

str

✅ Reference (to nodeID in XML source data, not yet post-processes)

roleclausedistance

str

⚠️ Distance to the wordgroup defining the syntactical role of this word

sentence

int

✅ Sentence number (counted per chapter)

str

✅ Part of Speech (abbreviated)

sp_full

str

✅ Part of Speech (long description)

strongs

str

✅ Strongs number

subj_ref

str

🆗 Subject reference (to nodeID in XML source data, not yet post-processes)

tense

str

✅ Gramatical tense of the verb (e.g. Present, Aorist)

type

str

✅ Gramatical type of noun or pronoun (e.g. Common, Personal)

unicode

str

✅ Word as it apears in the text in Unicode (incl. punctuations)

verse

int

✅ Verse number inside chapter

voice

str

✅ Gramatical voice of the verb (e.g. active,passive)

wgclass

str

✅ Class of the wordgroup (e.g. cl, np, vp)

wglevel

int

🆗 Number of the parent wordgroups for a wordgroup

wgnum

int

✅ Wordgroup number (counted per book)

wgrole

str

✅ Syntactical role of the wordgroup (abbreviated)

wgrolelong

str

✅ Syntactical role of the wordgroup (full)

wgrule

str

✅ Wordgroup rule information (e.g. Np-Appos, ClCl2, PrepNp)

wgtype

str

✅ Wordgroup type details (e.g. group, apposition)

word

str

✅ Word as it appears in the text (excl. punctuations)

wordlevel

str

🆗 Number of the parent wordgroups for a word

wordrole

str

✅ Syntactical role of the word (abbreviated)

wordrolelong

str

✅ Syntactical role of the word (full)

wordtranslit

str

🆗 Transliteration of the text (in latin letters, excl. punctuations)

wordunacc

str

✅ Word without accents (excl. punctuations)

oslots

none

Settings:

specified

apiVersion: 3
appName: tonyjurg/Nestle1904LFT
appPath:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/app
commit: no value
css: ''
dataDisplay:
- excludedFeatures:
  - orig_order
  - verse
  - book
  - chapter
- noneValues:
  - none
  - unknown
  - no value
  - NA
  - ''
- showVerseInTuple: 0
- textFormat: text-orig-full
docs:
- docBase: https://github.com/tonyjurg/Nestle1904LFT/blob/main/docs/
- docPage: about
- docRoot: https://github.com/tonyjurg/Nestle1904LFT
- featureBase:
  https://github.com/tonyjurg/Nestle1904LFT/blob/main/docs/features/<feature>.md
interfaceDefaults: {fmt: layout-orig-full}
isCompatible: True
local: no value
localDir:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/_temp
provenanceSpec:
- corpus: Nestle 1904 (Low Fat Tree)
- doi: notyet
- org: tonyjurg
- relative: /tf
- repo: Nestle1904LFT
- repro: Nestle1904LFT
- version: 0.6
- webBase: https://learner.bible/text/show_text/nestle1904/
- webHint: Show this on the Bible Online Learner website
- webLang: en
- webUrl:
  https://learner.bible/text/show_text/nestle1904/<1>/<2>/<3>
- webUrlLex: {webBase}/word?version={version}&id=<lid>
release: no value
typeDisplay:
- book:
  - condense: True
  - hidden: True
  - label: {book}
  - style: ''
- chapter:
  - condense: True
  - hidden: True
  - label: {chapter}
  - style: ''
- sentence:
  - hidden: 0
  - label: #{sentence} (start: {book} {chapter}:{headverse})
  - style: ''
- verse:
  - condense: True
  - excludedFeatures: chapter verse
  - label: {book} {chapter}:{verse}
  - style: ''
- wg:
  - hidden: 0
  - label:
    #{wgnum}: {wgtype} {wgclass} {clausetype} {wgrole} {wgrule} {junction}
  - style: ''
- word:
  - base: True
  - features: lemma
  - featuresBare: gloss
  - surpress: chapter verse
writing: grc

TF API: names N F E L T S C TF Fs Fall Es Eall Cs Call directly usable

In [3]:

# The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer)
N1904.dh(N1904.getCss())

In [4]:

# 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 ¶

First rough attempt!

In [7]:

Selection = '''
wg wgrole=s|o
      a:word sp=noun case=genitive
      b:word sp=noun
a # b
a <1: b
'''
ResultList = N1904.search(Selection)

  0.30s 1379 results

3.1 - TBD ¶

Back to TOC ¶

In [14]:

# Print first tuple
for ResultTuple in ResultList:
    print (ResultTuple)
    break
# the first number is a wg node, the second and third are word nodes
N1904.plain(ResultTuple[0])

(154188, 252, 254)

Matthew 1:17 Πᾶσαι αἱ γενεαὶ ἀπὸ Ἀβραὰμ ἕως Δαυεὶδ

In [17]:

# unpack the results
limit=10
counter=0
for ResultTuple in ResultList:
    counter+=1
    print (T.sectionFromNode(ResultTuple[0]),F.word.v(ResultTuple[1]),F.word.v(ResultTuple[2]),F.gloss.v(ResultTuple[1]),F.gloss.v(ResultTuple[2])) 
    if counter==limit: break

('Matthew', 1, 17) Ἀβραὰμ Δαυεὶδ Abraham David [were]
('Matthew', 1, 17) μετοικεσίας Βαβυλῶνος carrying away to Babylon
('Matthew', 1, 17) μετοικεσίας Βαβυλῶνος carrying away to Babylon
('Matthew', 1, 18) Ἰησοῦ Χριστοῦ of Jesus Christ
('Matthew', 1, 18) Χριστοῦ γένεσις Christ birth
('Matthew', 1, 18) μητρὸς Μαρίας mother Mary
('Matthew', 2, 11) Μαρίας μητρὸς Mary mother
('Matthew', 2, 17) Ἰερεμίου προφήτου Jeremiah prophet
('Matthew', 2, 17) προφήτου Φωνὴ prophet A voice
('Matthew', 2, 22) πατρὸς Ἠρῴδου father Herod

4 - Discussion ¶

Back to TOC ¶

TBA

5 - Attribution and footnotes ¶

Back to TOC ¶

Attribution:¶

Thanks to Professor Oliver Glanz (Andrews University) for pointing me to this question.

6 - Required libraries ¶

Back to 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 eitherpip or pip3.

Genitivus Objectivus or Subjectivus (Nestle1904LFT)¶

Table of content ¶

1 - Introduction ¶

Back to TOC¶

1.1 - Why is this relevant? ¶

1.2 - Translating into Text-Fabric queries ¶

2 - Load Text-Fabric app and data ¶

Back to TOC¶

3 - Performing the queries ¶

Back to TOC¶

3.1 - TBD¶

Back to TOC¶

4 - Discussion¶

Back to TOC¶

5 - Attribution and footnotes¶

Back to TOC¶

Attribution:¶

6 - Required libraries¶

Back to TOC¶

Back to TOC ¶

Back to TOC ¶

Back to TOC ¶

3.1 - TBD ¶

Back to TOC ¶

4 - Discussion ¶

Back to TOC ¶

5 - Attribution and footnotes ¶

Back to TOC ¶

6 - Required libraries ¶

Back to TOC ¶