{
"cells": [
{
"cell_type": "markdown",
"id": "f2637008-fceb-47b8-86ac-42633829b391",
"metadata": {},
"source": [
"# Pronominal redundancy - explicit use of pronouns when already implicit present (Nestle1904LFT)\n",
"\n",
"**Work in progress!**"
]
},
{
"cell_type": "markdown",
"id": "c7a43f6f-08b8-40da-a1f5-f9cb323c964f",
"metadata": {},
"source": [
"## Table of content \n",
"* 1 - Introduction\n",
" * 1.1 - Why is this relevant?\n",
" * 1.2 - Translating into Text-Fabric queries\n",
"* 2 - Load Text-Fabric app and data\n",
"* 3 - Performing the queries\n",
" * 3.1 - TBD\n",
" * 3.2 - TBD\n",
"* 4 - Discussion\n",
"* 5 - Attribution and footnotes \n",
"* 6 - Required libraries "
]
},
{
"cell_type": "markdown",
"id": "99c8eed2-94dd-4b62-ba6a-487386e93422",
"metadata": {},
"source": [
"# 1 - Introduction \n",
"##### [Back to TOC](#TOC)\n",
"\n",
"In Greek, the verb forms typically include information about the subject within the verb ending itself. This is known as verbal inflection or conjugation. However, there are instances in the Greek New Testament where the pronoun is added even though the information is already contained in the verb. This linguistic phenomenon is known as pronominal redundancy."
]
},
{
"cell_type": "markdown",
"id": "f1c6fbd9-2cca-41aa-b6f1-0ef852857dff",
"metadata": {},
"source": [
"## 1.1 - Why is this relevant? \n",
"\n",
"The use of pronominal redundancy in the Greek New Testament serves several purposes which may have exegetical consequences. \n",
"\n",
"Some typical reasons for pronominal redundancy:\n",
"\n",
"* Clarity and Emphasis: Adding the pronoun reinforces and emphasizes the subject of the sentence to avoid ambiguity. By explicitly stating the subject as a separate word, the author can ensure that the intended meaning is clear.\n",
"\n",
"* Stylistic Variation: The authors of the New Testament employed various stylistic devices and added variety to their writing. Pronominal redundancy may give the text a more poetic or emphatic quality and make it more engaging to the reader.\n",
"\n",
"* Theological Significance: In some cases, the use of pronominal redundancy can have theological implications. It can highlight the identity or importance of the subject, particularly when referring to God or Jesus.\n",
"\n",
"* Consequence of copying by scribs: The Greek New Testament has been transmitted through handwritten copies over the centuries. Scribes, who copied the texts by hand, sometimes added or modified words unintentionally or intentionally for clarity or emphasis. This could explain why pronominal redundancy occurs only in certain manuscripts or versions of the text.\n"
]
},
{
"cell_type": "markdown",
"id": "1ad657ef-0133-413e-87bb-9ef12e67573f",
"metadata": {},
"source": [
"## 1.2 - Translating into Text-Fabric queries \n",
"\n",
"The rough idea is to check phrases with function object for inclusion of a personal pronoun. \n",
"If possible, number and person information can be validated against each other. "
]
},
{
"cell_type": "markdown",
"id": "c97f26c8-1f8c-43df-b804-5d8745fce844",
"metadata": {},
"source": []
},
{
"cell_type": "markdown",
"id": "b671c880-a546-4849-9384-487ed4a4531a",
"metadata": {},
"source": [
"# 2 - Load Text-Fabric app and data \n",
"##### [Back to TOC](#TOC)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e72dbefe-43c5-4a03-a8f6-7b885f4e57ea",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0825dd50-e607-485f-85f0-83e85ad289f0",
"metadata": {},
"outputs": [],
"source": [
"# Loading the Text-Fabric code\n",
"# Note: it is assumed Text-Fabric is installed in your environment\n",
"from tf.fabric import Fabric\n",
"from tf.app import use"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "72661b2a-d195-44cb-a524-1d542784b8d0",
"metadata": {
"scrolled": true,
"tags": []
},
"outputs": [
{
"data": {
"text/markdown": [
"**Locating corpus resources ...**"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The requested app is not available offline\n",
"\t~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app not found\n"
]
},
{
"data": {
"text/html": [
"Status: latest release online v0.6 versus None locally"
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""
]
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{
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"text/html": [
"downloading app, main data and requested additions ..."
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""
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"output_type": "display_data"
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{
"data": {
"text/html": [
"app: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app"
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""
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{
"name": "stdout",
"output_type": "stream",
"text": [
"The requested data is not available offline\n",
"\t~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6 not found\n"
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{
"data": {
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"Status: latest release online v0.6 versus None locally"
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""
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{
"data": {
"text/html": [
"downloading app, main data and requested additions ..."
],
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""
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},
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{
"data": {
"text/html": [
"data: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6"
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""
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" | 0.22s T otype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 2.43s T oslots from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.46s T verse from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.48s T chapter from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.57s T book from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.60s T wordunacc from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.61s T word from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.50s T after from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.57s T wordtranslit from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.62s T unicode from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.62s T normalized from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | | 0.06s C __levels__ from otype, oslots, otext\n",
" | | 1.78s C __order__ from otype, oslots, __levels__\n",
" | | 0.07s C __rank__ from otype, __order__\n",
" | | 3.39s C __levUp__ from otype, oslots, __rank__\n",
" | | 1.91s C __levDown__ from otype, __levUp__, __rank__\n",
" | | 0.22s C __characters__ from otext\n",
" | | 0.93s C __boundary__ from otype, oslots, __rank__\n",
" | | 0.07s C __sections__ from otype, oslots, otext, __levUp__, __levels__, book, chapter, verse\n",
" | | 0.23s C __structure__ from otype, oslots, otext, __rank__, __levUp__, book, chapter, verse\n",
" | 0.45s T booknumber from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.51s T bookshort from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.48s T case from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.32s T clausetype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.55s T containedclause from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.41s T degree from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.57s T gloss from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.47s T gn from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.03s T headverse from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.32s T junction from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.55s T lemma from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.51s T lex_dom from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.53s T ln from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.41s T markafter from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.41s T markbefore from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.42s T markorder from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.45s T monad from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.44s T mood from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.52s T morph from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.53s T nodeID from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.49s T nu from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.49s T number from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.43s T person from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.43s T punctuation from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.65s T ref from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.65s T reference from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.48s T roleclausedistance from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.50s T sentence from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.54s T sp from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.56s T sp_full from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.53s T strongs from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.45s T subj_ref from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.46s T tense from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.48s T type from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.45s T voice from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.40s T wgclass from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.33s T wglevel from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.35s T wgnum from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.34s T wgrole from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.35s T wgrolelong from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.39s T wgrule from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.34s T wgtype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.49s T wordlevel from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.49s T wordrole from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n",
" | 0.52s T wordrolelong from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n"
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"\n",
" TF: TF API 12.1.5, tonyjurg/Nestle1904LFT/app v3, Search Reference
\n",
" Data: tonyjurg - Nestle1904LFT 0.6, Character table, Feature docs
\n",
" Node types
\n",
"\n",
" \n",
" | Name | \n",
" # of nodes | \n",
" # slots / node | \n",
" % coverage | \n",
"
\n",
"\n",
"\n",
" | book | \n",
" 27 | \n",
" 5102.93 | \n",
" 100 | \n",
"
\n",
"\n",
"\n",
" | chapter | \n",
" 260 | \n",
" 529.92 | \n",
" 100 | \n",
"
\n",
"\n",
"\n",
" | verse | \n",
" 7943 | \n",
" 17.35 | \n",
" 100 | \n",
"
\n",
"\n",
"\n",
" | sentence | \n",
" 8011 | \n",
" 17.20 | \n",
" 100 | \n",
"
\n",
"\n",
"\n",
" | wg | \n",
" 105430 | \n",
" 6.85 | \n",
" 524 | \n",
"
\n",
"\n",
"\n",
" | word | \n",
" 137779 | \n",
" 1.00 | \n",
" 100 | \n",
"
\n",
"
\n",
" Features:
\n",
"Nestle 1904 (Low Fat Tree)
\n",
" \n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Characters (eg. punctuations) following the word\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Book name (in English language)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
✅ NT book number (Matthew=1, Mark=2, ..., Revelation=27)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Book name (abbreviated)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical case (Nominative, Genitive, Dative, Accusative, Vocative)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
✅ Chapter number inside book\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Clause type details (e.g. Verbless, Minor)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
🆗 Contained clause (WG number)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Degree (e.g. Comparitative, Superlative)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ English gloss\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical gender (Masculine, Feminine, Neuter)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Start verse number of a sentence\n",
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"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Junction data related to a wordgroup\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Lexeme (lemma)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Lexical domain according to Semantic Dictionary of Biblical Greek, SDBG (not present everywhere?)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Lauw-Nida lexical classification (not present everywhere?)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
🆗 Text critical marker after word\n",
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"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
🆗 Text critical marker before word\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
Order of punctuation and text critical marker\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
✅ Monad (smallest token matching word order in the corpus)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical mood of the verb (passive, etc)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Morphological tag (Sandborg-Petersen morphology)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Node ID (as in the XML source data)\n",
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"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Surface word with accents normalized and trailing punctuations removed\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical number (Singular, Plural)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical number of the verb (e.g. singular, plural)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical person of the verb (first, second, third)\n",
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"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Punctuation after word\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Value of the ref ID (taken from XML sourcedata)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Reference (to nodeID in XML source data, not yet post-processes)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
⚠️ Distance to the wordgroup defining the syntactical role of this word\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
✅ Sentence number (counted per chapter)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Part of Speech (abbreviated)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Part of Speech (long description)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Strongs number\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
🆗 Subject reference (to nodeID in XML source data, not yet post-processes)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical tense of the verb (e.g. Present, Aorist)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical type of noun or pronoun (e.g. Common, Personal)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Word as it apears in the text in Unicode (incl. punctuations)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
✅ Verse number inside chapter\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Gramatical voice of the verb (e.g. active,passive)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Class of the wordgroup (e.g. cl, np, vp)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
🆗 Number of the parent wordgroups for a wordgroup\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
int
\n",
"\n",
"
✅ Wordgroup number (counted per book)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Syntactical role of the wordgroup (abbreviated)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Syntactical role of the wordgroup (full)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Wordgroup rule information (e.g. Np-Appos, ClCl2, PrepNp)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Wordgroup type details (e.g. group, apposition)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Word as it appears in the text (excl. punctuations)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
🆗 Number of the parent wordgroups for a word\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Syntactical role of the word (abbreviated)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Syntactical role of the word (full)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
🆗 Transliteration of the text (in latin letters, excl. punctuations)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
str
\n",
"\n",
"
✅ Word without accents (excl. punctuations)\n",
"\n",
"
\n",
"\n",
"
\n",
"
\n",
"
none
\n",
"\n",
"
\n",
"\n",
"
\n",
"\n",
"
specified
- apiVersion:
3 - appName:
tonyjurg/Nestle1904LFT appPath:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/app- commit: no value
- css:
'' dataDisplay:
excludedFeatures:
orig_orderversebookchapter
noneValues:
- 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/_tempprovenanceSpec:
- 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
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# load the N1904 app and data\n",
"N1904 = use (\"tonyjurg/Nestle1904LFT\", version=\"0.6\", hoist=globals())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b871dac5-d3df-4a4b-a62a-d440336e748c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer)\n",
"N1904.dh(N1904.getCss())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9b35418a-711c-4aaf-92c3-95fd5abd08b6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Set default view in a way to limit noise as much as possible.\n",
"N1904.displaySetup(condensed=True, multiFeatures=False,queryFeatures=False)"
]
},
{
"cell_type": "markdown",
"id": "217ec003-7e50-4fa6-982b-67b1dc880b52",
"metadata": {},
"source": [
"# 3 - Performing the queries \n",
"##### [Back to TOC](#TOC)"
]
},
{
"cell_type": "markdown",
"id": "1b3dd917-8fb5-400b-91a6-6b09e2630bba",
"metadata": {
"tags": []
},
"source": [
"## 3.1 - Determine the conditions \n",
"\n",
"This code will produce ....."
]
},
{
"cell_type": "markdown",
"id": "b0cd127b-27c5-4d71-8246-d5be4699b072",
"metadata": {},
"source": [
"## 3.2 - TBD \n",
"\n",
"....."
]
},
{
"cell_type": "markdown",
"id": "924c13fe-d8a0-4b41-b5aa-b1facea20835",
"metadata": {},
"source": [
"# 4 - Discussion\n",
"##### [Back to TOC](#TOC)\n",
"\n",
"TBA"
]
},
{
"cell_type": "markdown",
"id": "5fb3b463-3798-4d55-8086-9b77059ee12b",
"metadata": {},
"source": [
"# 5 - Attribution and footnotes\n",
"##### [Back to TOC](#TOC)\n",
"\n",
"#### Attribution:\n",
"\n",
"Thanks to Prof. Willem van Peursen (VU Amsterdam) for pointing me to this interesting issue by mentioning:\n",
">In Muraoka’s Why Read the Bible in the Original Languages,1 I found the following examples:\n",
"Pronouns (e.g. Mt 3:1 “I (emphasis) baptize you with water, but…”\n",
"\n",
"#### Footnotes:\n",
"\n",
"1 Muraoka, Takamitsu. *Why Read the Bible in the Original Languages?* (Leuven: Peeters Publishers, 2020), 69."
]
},
{
"cell_type": "markdown",
"id": "076d245a-392a-4571-9899-43a9a54df775",
"metadata": {
"tags": []
},
"source": [
"# 6 - Required libraries \n",
"##### [Back to TOC](#TOC)\n",
"\n",
"The scripts in this notebook require (beside `text-fabric`) the following Python libraries to be installed in the environment:\n",
"\n",
" ???\n",
"\n",
"You can install any missing library from within Jupyter Notebook using either`pip` or `pip3`."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "347bb41a-34cb-4c10-9831-0a77a94e0e94",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}