Notebook

Examine presentation of John 1:1 (GBI versus LFT)¶

Work in progress!

Table of content ¶

1 - Introduction
2 - Load Text-Fabric app and data
3 - Performing the queries
- 3.1 - The GBI implementation
  - 3.1.1 - The input XML (GBI nodes)
- 3.2 - The LFT implementation
  - 3.2.1 - The input XML (Low Fat Tree)
4 - Discussion
- 4.1 - Handling of conjunctions
- 4.2 - TBD
5 - Atribution and footnotes
6 - Required libraries

1 - Introduction ¶

Back to TOC ¶

This Jupyter Notebook demonstrates the effects of the differences in Text-Fabric datastructure between the GBI and LFT implementation.

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 N1904GBI app and data
# Since two distinct Text-Fabric dataset are loaed, the option hoist=globals() SHOULD NOT be used!
N1904GBI = use ("tonyjurg/Nestle1904gbi",version='0.4')

Locating corpus resources ...

The requested app is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904gbi/app not found

Status: latest release online 0.4 versus None locally

downloading app, main data and requested additions ...

app: ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/app

The requested data is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4 not found

Status: latest release online 0.4 versus None locally

downloading app, main data and requested additions ...

data: ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4

   |     0.16s T otype                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     1.89s T oslots               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.59s T book                 from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.49s T after                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.59s T word                 from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.51s T verse                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.51s T chapter              from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |      |     0.05s C __levels__           from otype, oslots, otext
   |      |     1.60s C __order__            from otype, oslots, __levels__
   |      |     0.07s C __rank__             from otype, __order__
   |      |     2.25s C __levUp__            from otype, oslots, __rank__
   |      |     1.43s C __levDown__          from otype, __levUp__, __rank__
   |      |     0.06s C __characters__       from otext
   |      |     0.92s 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
   |     0.51s T booknum              from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.60s T bookshort            from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.54s T case                 from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.49s T clause               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.07s T clauserule           from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.02s T clausetype           from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.42s T degree               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.52s T formaltag            from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.52s T functionaltag        from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.58s T gloss                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.47s T gn                   from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.56s T lemma                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.51s T lex_dom              from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.54s T ln                   from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.44s T monad                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.43s T mood                 from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.64s T nodeID               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.59s T normalized           from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.48s T nu                   from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.49s T number               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.44s T person               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.70s T phrase               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.26s T phrasefunction       from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.28s T phrasefunctionlong   from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.27s T phrasetype           from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.45s T sentence             from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.50s T sp                   from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.51s T splong               from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.52s T strongs              from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.43s T subj_ref             from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.43s T tense                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.45s T type                 from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4
   |     0.44s T voice                from ~/text-fabric-data/github/tonyjurg/Nestle1904gbi/tf/0.4

TF: TF API 12.1.5, tonyjurg/Nestle1904gbi/app v3, Search Reference
Data: tonyjurg - Nestle1904gbi 0.4, Character table, Feature docs

Node types

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

Sets: no custom sets
Features:

Nestle 1904 (GBI nodes)

after

str

Character after the word (space or punctuation)

book

str

Book name (fully spelled out)

booknum

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

clause

int

Clause number (counted per chapter)

clauserule

str

Clause rule

clausetype

str

Clause type

degree

str

Degree (e.g. Comparitative, Superlative)

formaltag

str

Formal tag (Sandborg-Petersen morphology)

functionaltag

str

gloss

str

English gloss

str

Gramatical gender (Masculine, Feminine, Neuter)

lemma

str

Lexeme (lemma)

lex_dom

str

Lexical domain according to Semantic Dictionary of Biblical Greek, SDBG

str

Lauw-Nida lexical classification

monad

int

Sequence number of the smallest meaningful unit of text (single word)

mood

str

Gramatical mood of the verb (passive, etc)

nodeID

str

Node ID (as in the XML source data)

normalized

str

Surface word stripped of punctations

str

Gramatical number (Singular, Plural)

number

str

Gramatical number of the verb

otype

str

person

str

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

phrase

int

Phrase number (counted per chapter)

phrasefunction

str

Phrase function (abbreviated)

phrasefunctionlong

str

Phrase function (long description)

phrasetype

str

Phrase type information

sentence

int

Sentence number (counted per chapter)

str

Speech Part (abbreviated)

splong

str

Speech Part (long description)

strongs

str

Strongs number

subj_ref

str

Subject reference (to nodeID in XML source data)

tense

str

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

type

str

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

verse

int

Verse number inside chapter

voice

str

Gramatical voice of the verb

word

str

Word as it appears in the text

oslots

none

Settings:

specified

apiVersion: 3
appName: tonyjurg/Nestle1904gbi
appPath:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904gbi/app
commit: no value
css:
dataDisplay:
- excludedFeatures: [reference]
- noneValues:
  - none
  - unknown
  - no value
  - NA
  - ''
- textFormat: text-orig-full
interfaceDefaults: {fmt: layout-orig-full}
isCompatible: True
local: no value
localDir:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904gbi/_temp
provenanceSpec:
- corpus: Nestle 1904 (GBI nodes)
- org: tonyjurg
- relative: /tf
- repo: Nestle1904gbi
- repro: Nestle1904GBI
- version: 0.4
- webUrl:
  https://bibleol.3bmoodle.dk/text/show_text/nestle1904/<1>/<2>/<3>
release: no value
typeDisplay:
- book:
  - label: {book}
  - style: ''
- clause:
  - label: #{clause}
  - style: ''
- phrase:
  - label: #{phrase}
  - style: ''
- word:
  - features:
    lemma
    strongs
  - featuresBare: [gloss]
writing: grc

In [4]:

# The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer)
N1904GBI.dh(N1904GBI.getCss())
# Note: this only is required once, because both apps utilize the same stylesheets

In [5]:

# Set default view in a way to limit noise as much as possible.
N1904GBI.displaySetup(condensed=True, multiFeatures=False,queryFeatures=False)

In [6]:

# load the N1904LFT app and data
# Since two distinct Text-Fabric dataset are loaed, the option hoist=globals() SHOULD NOT be used!
N1904LFT= use ("tonyjurg/Nestle1904lft",version='0.6')

Locating corpus resources ...

The requested app is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904lft/app not found

Status: latest release online v0.6a 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 v0.6a 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
   |     2.31s T oslots               from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.60s T normalized           from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.57s T wordtranslit         from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.48s T chapter              from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.57s T book                 from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.50s T after                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.60s T word                 from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.60s T wordunacc            from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.47s T verse                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.61s T unicode              from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |      |     0.06s C __levels__           from otype, oslots, otext
   |      |     1.81s C __order__            from otype, oslots, __levels__
   |      |     0.08s C __rank__             from otype, __order__
   |      |     3.42s C __levUp__            from otype, oslots, __rank__
   |      |     1.95s C __levDown__          from otype, __levUp__, __rank__
   |      |     0.23s C __characters__       from otext
   |      |     0.90s C __boundary__         from otype, oslots, __rank__
   |      |     0.05s C __sections__         from otype, oslots, otext, __levUp__, __levels__, book, chapter, verse
   |      |     0.23s C __structure__        from otype, oslots, otext, __rank__, __levUp__, book, chapter, verse
   |     0.43s T booknumber           from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.51s T bookshort            from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.49s 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
   |     0.57s 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
   |     0.41s T markafter            from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.42s T markbefore           from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.42s T markorder            from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.46s T monad                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.47s T mood                 from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.59s T morph                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.56s 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
   |     0.49s 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
   |     0.43s T punctuation          from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.65s T ref                  from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.65s T reference            from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.49s T roleclausedistance   from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.47s 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
   |     0.54s 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
   |     0.44s T tense                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.45s T type                 from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.44s T voice                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.38s T wgclass              from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.34s T wglevel              from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.37s T wgnum                from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.35s 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
   |     0.41s T wgrule               from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.35s T wgtype               from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.50s T wordlevel            from ~/text-fabric-data/github/tonyjurg/Nestle1904lft/tf/0.6
   |     0.51s 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: 10.5281/zenodo.10182594
- 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

In [7]:

# Set default view in a way to limit noise as much as possible.
N1904LFT.displaySetup(condensed=True, multiFeatures=False,queryFeatures=False)

3 - Performing the queries ¶

Back to TOC ¶

First we will define a query template to select John 1:1 which will be used for both queries on both the GBI and LFT Text-Fabric dataset.

In [6]:

VerseQuery = '''
book book=John
  chapter chapter=1
     verse verse=1
'''

GBIVerseResults = N1904GBI.search(VerseQuery)
LFTVerseResults = N1904LFT.search(VerseQuery)

  0.01s 1 result
  0.01s 1 result

In [12]:

EthosQuery = '''
verse
  word lemma=ἔθος 
'''

EthosResults = N1904GBI.search(EthosQuery)
N1904GBI.table(EthosResults)

  0.08s 12 results

n	p	word
1	Luke 1:9	ἔθος
2	Luke 2:42	ἔθος
3	Luke 22:39	ἔθος
4	John 19:40	ἔθος
5	Acts 6:14	ἔθη
6	Acts 15:1	ἔθει
7	Acts 16:21	ἔθη
8	Acts 21:21	ἔθεσιν
9	Acts 25:16	ἔθος
10	Acts 26:3	ἐθῶν
11	Acts 28:17	ἔθεσι
12	Hebrews 10:25	ἔθος

3.1 - The GBI implementation ¶

Back to TOC ¶

The following is the tree presentation for the GBI implementation:

      <Tree>
        <Node Cat="S" ... >
          <Node Cat="CL" ... Rule="Conj3CL" ... >
            <Node Cat="CL" ... Rule="P-VC-S" ... >
              <Node Cat="P" ... Rule="pp2P" ... >
                <Node Cat="pp" ... Rule="PrepNp" ... >
                  <Node ... Cat="prep" ... >Ἐν</Node>
                  <Node Cat="np" ... Rule="N2NP" ... ">
                    <Node ... Cat="noun" ... >ἀρχῇ</Node>
                  </Node>
                </Node>
              </Node>
              <Node Cat="VC" ... Rule="vp2VC" ... >
                <Node Cat="vp" ... Rule="V2VP" ... >
                  <Node ... Cat="verb" ... >ἦν</Node>
                </Node>
              </Node>
              <Node Cat="S" ... Rule="Np2S" ... >
                <Node Cat="np" ... Rule="DetNP" ... >
                  <Node ... Cat="det" ...>ὁ</Node>
                  <Node Cat="np" ... Rule="N2NP" ... >
                    <Node ... Cat="noun" ... >Λόγος,</Node>
                  </Node>
                </Node>
              </Node>
            </Node>
            <Node ... Cat="conj" ...>καὶ</Node>
            <Node Cat="CL" ... Rule="S-VC-P" ... >
              <Node Cat="S" ... Rule="Np2S" ... >
                <Node Cat="np" ... Rule="DetNP" ... >
                  <Node ... Cat="det" ... >ὁ</Node>
                  <Node Cat="np" ... Rule="N2NP" ...>
                    <Node ... Cat="noun" ... >Λόγος</Node>
                  </Node>
                </Node>
              </Node>
              <Node Cat="VC" ... Rule="vp2VC" ... >
                <Node Cat="vp" ... Rule="V2VP" ... >
                  <Node ... Cat="verb" ... >ἦν</Node>
                </Node>
              </Node>
              <Node Cat="P" ... Rule="pp2P" ... >
                <Node Cat="pp" ... Rule="PrepNp" ... >
                  <Node ... Cat="prep" ... >πρὸς</Node>
                  <Node Cat="np" ... Rule="DetNP" ... >
                    <Node ... Cat="det" ... >τὸν</Node>
                    <Node Cat="np" ... Rule="N2NP" ... >
                      <Node ... Cat="noun" ... >Θεόν,</Node>
                    </Node>
                  </Node>
                </Node>
              </Node>
            </Node>
            <Node ... Cat="conj" ... >καὶ</Node>
            <Node Cat="CL" ... Rule="P-VC-S" ... >
              <Node Cat="P" ... Rule="Np2P" ... >
                <Node Cat="np" ... Rule="N2NP" ... >
                  <Node ... Cat="noun" ... >Θεὸς</Node>
                </Node>
              </Node>
              <Node Cat="VC" ... Rule="vp2VC" ... >
                <Node Cat="vp" ... Rule="V2VP" ... >
                  <Node ... Cat="verb" ... >ἦν</Node>
                </Node>
              </Node>
              <Node Cat="S" ... Rule="Np2S" ... >
                <Node Cat="np" ... Rule="DetNP" ... >
                  <Node ... Cat="det" ... >ὁ</Node>
                  <Node Cat="np" ... Rule="N2NP" ... >
                    <Node ... Cat="noun" ... >Λόγος.</Node>
                  </Node>
                </Node>
              </Node>
            </Node>
          </Node>
        </Node>
      </Tree>

3.2 - The LFT implementation ¶

Back to TOC ¶

The following is the tree presentation for the LFT implementation:

In [ ]:

N1904LFT.show(LFTVerseResults, start=1, end=2)

3.2.1 - The input XML (Low Fat Tree)¶

Back to TOC ¶

For comparison. This is the structure of the raw XML with most of the <w> attributes removed). Click here to view the source file.

<sentence>
      <p>
         <milestone unit="verse" id="JHN 1:1">JHN 1:1</milestone> Ἐν ἀρχῇ ἦν ὁ Λόγος, καὶ ὁ Λόγος ἦν πρὸς τὸν Θεόν, καὶ Θεὸς ἦν ὁ Λόγος.</p>
      <wg>
         <wg rule="Conj3CL">
            <wg class="cl" rule="P-VC-S" ... >
               <wg class="pp" rule="PrepNp" role="p">
                  <w ref="JHN 1:1!1" ... >Ἐν</w>
                  <w ref="JHN 1:1!2" ... >ἀρχῇ</w>
               </wg>
               <w role="vc"
                  ref="JHN 1:1!3" ... >ἦν</w>
               <wg class="np" ... rule="DetNP" role="s">
                  <w ref="JHN 1:1!4" ... >ὁ</w>
                  <w ref="JHN 1:1!5" ... >Λόγος</w>
               </wg>
            </wg>
            <wg type="group">
               <w ref="JHN 1:1!6" ... >καὶ</w>
               <wg class="cl" ... rule="S-VC-P" ... >
                  <wg class="np" ... rule="DetNP" role="s">
                     <w ref="JHN 1:1!7" ... >ὁ</w>
                     <w ref="JHN 1:1!8" ... >Λόγος</w>
                  </wg>
                  <w role="vc" ref="JHN 1:1!9" ... >ἦν</w>
                  <wg class="pp" ... rule="PrepNp" role="p">
                     <w ref="JHN 1:1!10" ... >πρὸς</w>
                     <wg class="np" ... rule="DetNP">
                        <w ref="JHN 1:1!11" ... >τὸν</w>
                        <w ref="JHN 1:1!12" ... >Θεόν</w>
                     </wg>
                  </wg>
               </wg>
            </wg>
            <wg type="group">
               <w ref="JHN 1:1!13" ... >καὶ</w>
               <wg class="cl" rule="P-VC-S" junction="coordinate">
                  <w role="p" ref="JHN 1:1!14" ... >Θεὸς</w>
                  <w role="vc" ref="JHN 1:1!15" ... >ἦν</w>
                  <wg class="np" articular="true" rule="DetNP" role="s">
                     <w ref="JHN 1:1!16" ... >ὁ</w>
                     <w ref="JHN 1:1!17" ... >Λόγος</w>
                  </wg>
               </wg>
            </wg>
         </wg>
      </wg>
   </sentence>

This is the input XML for the low Fat Tree with the stylesheets treedown.css and boxwood.css applied:

4 - Discussion ¶

Back to TOC ¶

The following sections provide a discussion about the differences between GBI and LFT dataset.

4.1 - Handling of conjunctions ¶

There is a fundamental difference in handling of conjunctions between the GBI and LFT implementation. In the GBI they are concidered part of a clause, in the LFT outside the clause. (*note: this may be reconsidered.)

4.2 - More ... ¶

Back to TOC ¶

TBA

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 [ ]:

Examine presentation of John 1:1 (GBI versus LFT)¶

Table of content ¶

1 - Introduction ¶

2 - Load Text-Fabric app and data ¶

3 - Performing the queries ¶

3.1 - The GBI implementation ¶

3.2 - The LFT implementation ¶

3.2.1 - The input XML (Low Fat Tree)¶

4 - Discussion ¶

4.1 - Handling of conjunctions ¶

4.2 - More ... ¶

5 - Attribution and footnotes¶

6 - Required libraries ¶

5 - Attribution and footnotes ¶