Notebook

Incongruenct adverb and noun (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 - Presenting incongruent cases
- 3.2 - Some note on returned datastructure
4 - Discussion
5 - Atribution and footnotes
6 - Required libraries

1 - Introduction ¶

Back to TOC ¶

In Greek grammar, congruence refers to the agreement or matching of certain grammatical features, such as gender, number, and case, between different parts of a sentence. Specifically, when discussing congruence between an adverb and a noun, it typically refers to the agreement between the adverb and the noun in terms of gender, number, and case. When an adverb is used in conjunction with a noun, they normaly should be congruent, however, there are cases in the Greek New Testament where this is not the case.

1.1 - Why is this relevant? ¶

Back to TOC ¶

From a theological perspective, these mismatches are relevant and warrant investigation. It is often suggested that the mismatch may indicate the presence of an elliptical element, which, if included, would resolve the mismatch. However, in certain situations, introducing such an elliptical word could alter the intended meaning. Therefore, careful consideration is required when analyzing these mismatches in theological contexts.

1.2 - Translating into Text-Fabric queries ¶

Back to TOC ¶

To perform this query, we will utilize the search template feature of Text-Fabric. This feature enables us to precisely define the levels of incongruency we are interested in examining. By using the search template, we can specify the specific criteria and patterns we want to search for within the data.

In this example the congruence between preposition, adjective and noun will be examined.

2 - Load Text-Fabric app and data ¶

Back to TOC ¶

In [1]:

%load_ext autoreload
%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="0.6", 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

   |     0.20s T otype                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     2.28s 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
   |     0.64s T word                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.59s T wordtranslit         from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.61s T wordunacc            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.56s T book                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.60s T unicode              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.59s T normalized           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T chapter              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T after                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |      |     0.06s C __levels__           from otype, oslots, otext
   |      |     1.77s C __order__            from otype, oslots, __levels__
   |      |     0.08s C __rank__             from otype, __order__
   |      |     3.36s C __levUp__            from otype, oslots, __rank__
   |      |     1.91s C __levDown__          from otype, __levUp__, __rank__
   |      |     0.21s 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
   |     0.42s T booknumber           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s 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
   |     0.31s T clausetype           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.54s T containedclause      from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.42s 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
   |     0.47s T gn                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.04s T headverse            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.32s T junction             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.55s T lemma                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s 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
   |     0.40s T markafter            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T markbefore           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T markorder            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T monad                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.43s T mood                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.52s 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
   |     0.48s T nu                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T number               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.43s T person               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.42s 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
   |     0.63s T reference            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s 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
   |     0.50s T sp                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s T sp_full              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.53s T strongs              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T subj_ref             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.43s T tense                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T type                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.43s T voice                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.37s T wgclass              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.33s T wglevel              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.36s T wgnum                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.34s T wgrole               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.36s T wgrolelong           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.38s T wgrule               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.33s T wgtype               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T wordlevel            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.50s T wordrole             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s 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 [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 ¶

3.1 - Looking for and presenting the incongruent cases ¶

The level of mismatch to select upon can be adjusted by addapting the following lines:

a .gn#gn. b 
b .gn#gn. c
a .case#case. b
b .case#case. c

The actual query is presented below:

In [21]:

# Define the query template
MismatchesQuery = '''
wg wgrole=adv
      a:word sp=prep
      <: b:word sp=adj
      <: c:word sp=noun 
a .gn#gn. b 
b .gn#gn. c
a .case#case. b
b .case#case. c
'''

MismatchesList = N1904.search(MismatchesQuery)
# This will create a list containing ordered tuples consisting of node numbers of the items as they appear in the query

  0.34s 16 results

The resulting data, stored in MismatchesList, can be further processed and presented in a table format. It's important to note that the strings displayed under 'Greek' and 'Gloss' are not the running text itself but rather the concatenation of a preposition, adjective, and noun. This way, the table presentation will visualize the data in a more structured manner.

In [15]:

for result in MismatchesList: 
    print (result)
    break

(157951, 5117, 5118, 5119)

In [ ]:

# idea to filter out duplicates - not working yet

unique_tuples = set()
for result in MismatchesList:
    # Process the relevant nodes or features to form a tuple
    tuple_data = (result[0], result[1], result[2], result[3])
    
    # Add the tuple to the set
    unique_tuples.add(tuple_data)

In [22]:

# Library to format table
from tabulate import tabulate

# The result is a list of tuples with node ids
# Gather the results
Results=[]
for tuple in MismatchesList:
    greek=F.word.v(tuple[1])+' '+F.word.v(tuple[2])+' '+F.word.v(tuple[3])
    gloss=F.gloss.v(tuple[1])+' '+F.gloss.v(tuple[2])+' '+F.gloss.v(tuple[3])
    # Following line creates a nicely formated presentation of the verse
    location="{} {}:{}".format(F.book.v(tuple[1]),F.chapter.v(tuple[1]),F.verse.v(tuple[1]))
    result=(location,greek,gloss)
    Results.append(result)
    
# Produce the table
headers = ["location","Greek","Gloss"]
print(tabulate(Results, headers=headers, tablefmt='fancy_grid'))

╒════════════════════╤════════════════════════╤════════════════════════════════════════╕
│ location           │ Greek                  │ Gloss                                  │
╞════════════════════╪════════════════════════╪════════════════════════════════════════╡
│ Matthew 10:16      │ ἐν μέσῳ λύκων          │ in [the] midst of wolves               │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Matthew 10:16      │ ἐν μέσῳ λύκων          │ in [the] midst of wolves               │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Matthew 11:11      │ ἐν γεννητοῖς γυναικῶν  │ among [those] born of women            │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Matthew 28:1       │ εἰς μίαν σαββάτων      │ toward [the] first [day] of [the] week │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Matthew 28:1       │ εἰς μίαν σαββάτων      │ toward [the] first [day] of [the] week │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Luke 7:28          │ ἐν γεννητοῖς γυναικῶν  │ among [those] born of women            │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Luke 10:3          │ ἐν μέσῳ λύκων          │ in [the] midst of wolves               │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Luke 10:3          │ ἐν μέσῳ λύκων          │ in [the] midst of wolves               │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Luke 17:11         │ διὰ μέσον Σαμαρίας     │ through [the] midst of Samaria         │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ I_Corinthians 2:13 │ ἐν διδακτοῖς Πνεύματος │ in [those] taught of [the] Spirit      │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ I_Corinthians 5:8  │ ἐν ἀζύμοις εἰλικρινίας │ with unleavened [bread] of sincerity   │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ I_Corinthians 16:2 │ κατὰ μίαν σαββάτου     │ Every first of the week                │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Hebrews 2:12       │ ἐν μέσῳ ἐκκλησίας      │ in [the] midst of [the] congregation   │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ Hebrews 2:12       │ ἐν μέσῳ ἐκκλησίας      │ in [the] midst of [the] congregation   │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ I_Peter 3:22       │ ἐν δεξιᾷ Θεοῦ          │ at [the] right hand of God             │
├────────────────────┼────────────────────────┼────────────────────────────────────────┤
│ I_Peter 3:22       │ ἐν δεξιᾷ Θεοῦ          │ at [the] right hand of God             │
╘════════════════════╧════════════════════════╧════════════════════════════════════════╛

3.2 - Some note on returned datastructure ¶

Back to TOC ¶

Note that the format of the returned list. The tuples in the mismatch list consist of tuples with 'wg, word, word and word. This matches the node elements included in the initial query:

phrase
  a:word sp=prep
  <: b:word sp=adj
  <: c:word sp=noun

In [12]:

for tuple in MismatchesList:
    for index in range(4): print (F.otype.v(tuple[index]))
    # only print the first tuple
    break;

wg
word
word
word

In [23]:

N1904.show(MismatchesList)

verse 1

Matthew 10:16

verse Matthew 10:16

sentence #312 (start: Matthew 10:16)

wg #4243: cl

Ἰδοὺ

ἐγὼ

ἀποστέλλω

ὑμᾶς

wg #4244: cl* adv sub-CL

ὡς

wg #4245: cl VerbElided O-ADV

πρόβατα

wg #4246: pp adv PrepNp

ἐν

wg #4247: np NPofNP

μέσῳ

λύκων·

sentence #313 (start: Matthew 10:16)

wg #4249: cl* Conj-CL

wg #4250: cl* CLaCL

wg #4251: cl

γίνεσθε

οὖν

wg #4250: cl* CLaCL

wg #4251: cl

φρόνιμοι

wg #4252: cl* adv sub-CL

ὡς

wg #4253: cl VerbElided S2CL

wg #4254: np s DetNP

οἱ

ὄφεις

wg #4255: group

καὶ

wg #4256: cl

ἀκέραιοι

wg #4257: cl* adv sub-CL

ὡς

wg #4258: cl VerbElided S2CL

wg #4259: np s DetNP

αἱ

περιστεραί.

verse 2

Matthew 11:11

verse Matthew 11:11

sentence #361 (start: Matthew 11:11)

wg #4763: group ClCl

wg #4764: cl* PtclCL

ἀμὴν

wg #4765: cl V-IO

λέγω

ὑμῖν,

wg #4766: cl* CLaCL

wg #4767: cl ADV-V-ADV-S

οὐκ

ἐγήγερται

wg #4768: pp adv PrepNp

ἐν

wg #4769: np NPofNP

γεννητοῖς

γυναικῶν

wg #4770: adjp s AdjpAdvp

μείζων

wg #4771: np NPofNP

Ἰωάνου

wg #4772: np DetNP

τοῦ

Βαπτιστοῦ·

wg #4773: group

wg #4774: cl S-P-ADV-VC

wg #4775: np s DetNP

ὁ

δὲ

wg #4774: cl S-P-ADV-VC

wg #4775: np s DetNP

wg #4776: np NpPp

μικρότερος

wg #4777: pp PrepNp

ἐν

wg #4778: np DetNP

τῇ

wg #4779: np NPofNP

βασιλείᾳ

wg #4780: np DetNP

τῶν

οὐρανῶν

μείζων

αὐτοῦ

ἐστιν.

verse 3

Matthew 28:1

verse Matthew 28:1

sentence #1111 (start: Matthew 28:1)

wg #14846: cl* Conj-CL

wg #14847: cl ADV-ADV-V-S-ADV

wg #14848: pp adv PrepNp

Ὀψὲ

δὲ

wg #14847: cl ADV-ADV-V-S-ADV

wg #14848: pp adv PrepNp

σαββάτων,

wg #14849: cl* adv DetCL

τῇ

wg #14850: cl V-ADV

ἐπιφωσκούσῃ

wg #14851: pp adv PrepNp

εἰς

wg #14852: np NPofNP

μίαν

σαββάτων,

ἦλθεν

wg #14853: s NpaNp

wg #14854: apposition np Np-Appos

Μαριὰμ

wg #14855: np DetNP apposition

ἡ

Μαγδαληνὴ

wg #14856: group

καὶ

wg #14857: np DetNP

ἡ

wg #14858: np AdjpNp

ἄλλη

Μαρία

wg #14859: cl adv V-O

θεωρῆσαι

wg #14860: np o DetNP

τὸν

τάφον.

verse 4

Luke 7:28

verse Luke 7:28

sentence #301 (start: Luke 7:28)

wg #4644: cl

λέγω

ὑμῖν,

wg #4645: cl o P-ADV-ADV-S-VC

μείζων

wg #4646: pp adv PrepNp

ἐν

wg #4647: np NPofNP

γεννητοῖς

γυναικῶν

Ἰωάνου

οὐδείς

ἐστιν·

sentence #302 (start: Luke 7:28)

wg #4649: cl* Conj-CL

wg #4650: cl S-P-ADV-VC

wg #4651: np s DetNP

ὁ

δὲ

wg #4650: cl S-P-ADV-VC

wg #4651: np s DetNP

wg #4652: np NpPp

μικρότερος

wg #4653: pp PrepNp

ἐν

wg #4654: np DetNP

τῇ

wg #4655: np NPofNP

βασιλείᾳ

wg #4656: np DetNP

τοῦ

Θεοῦ

μείζων

αὐτοῦ

ἐστιν.

verse 5

Luke 10:3

verse Luke 10:3

sentence #469 (start: Luke 10:3)

wg #6878: ClCl

wg #6879: cl V2CL

ὑπάγετε·

wg #6880: cl

ἰδοὺ

ἀποστέλλω

ὑμᾶς

wg #6881: cl* adv sub-CL

ὡς

wg #6882: cl VerbElided O-ADV

ἄρνας

wg #6883: pp adv PrepNp

ἐν

wg #6884: np NPofNP

μέσῳ

λύκων.

verse 6

Luke 17:11

verse Luke 17:11

sentence #786 (start: Luke 17:11)

wg #11336: cl* Conj-CL

Καὶ

wg #11337: CLandCL2

wg #11338: cl V-ADV

ἐγένετο

wg #11339: pp adv PrepNp

ἐν

wg #11340: cl* DetCL

τῷ

wg #11341: cl V-ADV

πορεύεσθαι

wg #11342: pp adv PrepNp

εἰς

Ἱερουσαλὴμ,

wg #11343: group

καὶ

wg #11344: cl S-V-ADV

αὐτὸς

διήρχετο

wg #11345: pp adv PrepNp

διὰ

wg #11346: np NPofNP

μέσον

wg #11347: NpaNp

Σαμαρίας

wg #11348: group

καὶ

Γαλιλαίας.

verse 7

I_Corinthians 2:13

verse I_Corinthians 2:13

sentence #35 (start: I_Corinthians 2:12)

wg #581: cl* Conj-CL

wg #582: cl

wg #593: cl* sub-CL

wg #594: cl V-O

wg #595: apposition np o NP-CL

wg #600: cl O-ADV-V-ADV-ADV apposition

ἃ

καὶ

λαλοῦμεν

wg #601: group adv notPPbutPP

οὐκ

wg #602: pp PrepNp

ἐν

wg #603: np AdjpNp

wg #604: adjp AdjpAdvp

διδακτοῖς

wg #605: np AdjpNp

ἀνθρωπίνης

σοφίας

λόγοις,

ἀλλ’

wg #606: pp PrepNp

ἐν

wg #607: np NPofNP

διδακτοῖς

Πνεύματος,

wg #608: cl adv ADV-O-V

πνευματικοῖς

πνευματικὰ

συνκρίνοντες.

verse 8

I_Corinthians 5:8

verse I_Corinthians 5:8

sentence #104 (start: I_Corinthians 5:8)

wg #1312: cl* Conj-CL

ὥστε

wg #1313: cl V-ADV

ἑορτάζωμεν,

wg #1314: group adv notPPbutPP

μὴ

wg #1315: Conj2Pp

wg #1316: pp PrepNp

ἐν

wg #1317: np NpAdjp

ζύμῃ

παλαιᾷ

wg #1318: group

μηδὲ

wg #1319: pp PrepNp

ἐν

wg #1320: np NPofNP

ζύμῃ

wg #1321: NpaNp

κακίας

wg #1322: group

καὶ

πονηρίας,

ἀλλ’

wg #1323: pp PrepNp

ἐν

wg #1324: np NPofNP

ἀζύμοις

wg #1325: NpaNp

εἰλικρινίας

wg #1326: group

καὶ

ἀληθείας.

verse 9

I_Corinthians 16:2

verse I_Corinthians 16:2

sentence #499 (start: I_Corinthians 16:2)

wg #5381: cl

wg #5382: pp adv PrepNp

κατὰ

wg #5383: np NPofNP

μίαν

σαββάτου

wg #5384: np s NPofNP

ἕκαστος

ὑμῶν

wg #5385: pp adv PrepNp

παρ’

ἑαυτῷ

τιθέτω

wg #5386: cl adv V-O

θησαυρίζων

wg #5387: apposition np o NP-CL

wg #5388: cl* PtclCL apposition

wg #5389: cl O-V

ὅ

τι

wg #5388: cl* PtclCL apposition

ἐὰν

wg #5389: cl O-V

εὐοδῶται,

wg #5390: cl* adv sub-CL

ἵνα

wg #5391: cl ADV-ADV-ADV-S-V

μὴ

wg #5392: cl* adv sub-CL

ὅταν

wg #5393: cl V2CL

ἔλθω

τότε

λογίαι

γίνωνται.

verse 10

Hebrews 2:12

verse Hebrews 2:12

sentence #24 (start: Hebrews 2:11)

wg #357: cl ADV-ADV-V-ADV-ADV

wg #361: cl adv

λέγων

wg #362: cl o

Ἀπαγγελῶ

wg #363: np o DetNP

τὸ

wg #364: np NPofNP

ὄνομά

σου

wg #365: np io DetNP

τοῖς

wg #366: np NPofNP

ἀδελφοῖς

μου,

wg #367: cl o ADV-V-O

wg #368: pp adv PrepNp

ἐν

wg #369: np NPofNP

μέσῳ

ἐκκλησίας

ὑμνήσω

σε·

verse 11

I_Peter 3:21

verse I_Peter 3:21

sentence #47 (start: I_Peter 3:21)

wg #939: cl ADV-O-ADV-V-S-ADV

ὃ

wg #940: np o AdvpNp

καὶ

ὑμᾶς

wg #941: apposition np s Np-Appos

ἀντίτυπον

νῦν

σῴζει

wg #941: apposition np s Np-Appos

wg #942: apposition np Np-Appos apposition

βάπτισμα,

wg #943: group notNPbutNP apposition

οὐ

wg #944: np ofNPNP

σαρκὸς

wg #945: np NPofNP

ἀπόθεσις

ῥύπου

ἀλλὰ

wg #946: np NpPp

wg #947: np ofNPNP

wg #948: np NpAdjp

συνειδήσεως

ἀγαθῆς

ἐπερώτημα

wg #949: pp PrepNp

εἰς

Θεόν,

wg #950: pp adv PrepNp

δι’

wg #951: np NPofNP

ἀναστάσεως

wg #952: apposition np NP-CL

wg #953: apposition np Np-Appos

Ἰησοῦ

Χριστοῦ,

verse 12

I_Peter 3:22

verse I_Peter 3:22

sentence #47 (start: I_Peter 3:21)

wg #939: cl ADV-O-ADV-V-S-ADV

wg #950: pp adv PrepNp

wg #951: np NPofNP

wg #952: apposition np NP-CL

wg #954: cl apposition

wg #955: cl adv S-VC-P-ADV

ὅς

ἐστιν

wg #956: pp p PrepNp

ἐν

wg #957: np NPofNP

δεξιᾷ

Θεοῦ,

wg #958: cl adv V-ADV

πορευθεὶς

wg #959: pp adv PrepNp

εἰς

οὐρανόν,

ὑποταγέντων

αὐτῷ

wg #960: s Conj3Np

ἀγγέλων

wg #961: group

καὶ

ἐξουσιῶν

wg #962: group

καὶ

δυνάμεων.

4 - Discussion ¶

Back to TOC ¶

N.A.

5 - Attribution and footnotes ¶

Back to TOC ¶

N.A.

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.

In [ ]:

Incongruenct adverb and noun (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 - Looking for and presenting the incongruent cases¶

3.2 - Some note on returned datastructure ¶

4 - Discussion¶

5 - Attribution and footnotes¶

6 - Required libraries ¶

3.1 - Looking for and presenting the incongruent cases ¶

4 - Discussion ¶

5 - Attribution and footnotes ¶