{ "cells": [ { "cell_type": "markdown", "id": "f2637008-fceb-47b8-86ac-42633829b391", "metadata": {}, "source": [ "# Repetition of nouns (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", "Consider the following example from Luke 7:38:\n", "> (...) καὶ στᾶσα ὀπίσω παρὰ τοὺς *πόδας* αὐτοῦ κλαίουσα τοῖς δάκρυσιν ἤρξατο βρέχειν τοὺς *πόδας* αὐτοῦ καὶ ταῖς θριξὶν τῆς κεφαλῆς αὐτῆς ἐξέμασσεν καὶ κατεφίλει τοὺς *πόδας* αὐτοῦ καὶ ἤλειφεν τῷ μύρῳ.\n", "\n", "Here the word πόδας (feet) is used 3 times in the same sentence (which started in verse 36)." ] }, { "cell_type": "markdown", "id": "f1c6fbd9-2cca-41aa-b6f1-0ef852857dff", "metadata": {}, "source": [ "## 1.1 - Why is this relevant? \n", "##### [Back to TOC](#TOC)\n", "\n", "The question is if the repetion of πόδας is of exegetical importance, given the fact that the second and third occurence could be refered to using the pronoun *them*." ] }, { "cell_type": "markdown", "id": "1ad657ef-0133-413e-87bb-9ef12e67573f", "metadata": {}, "source": [ "## 1.2 - Translating into Text-Fabric queries \n", "##### [Back to TOC](#TOC)\n", "\n", "The idea is to analyse the number of occurences of identical nouns per sentence and score them. " ] }, { "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": 1, "id": "e72dbefe-43c5-4a03-a8f6-7b885f4e57ea", "metadata": { "tags": [] }, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "code", "execution_count": 2, "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": 3, "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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "downloading app, main data and requested additions ..." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "app: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "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" ] }, { "data": { "text/html": [ "Status: latest release online v0.6 versus None locally" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "downloading app, main data and requested additions ..." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "data: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " | 0.22s T otype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 2.33s T oslots from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.58s T book 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", " | 0.60s T wordtranslit 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", " | 0.60s T normalized from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.49s T after 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", " | 0.61s T unicode from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.50s T chapter from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | | 0.06s C __levels__ from otype, oslots, otext\n", " | | 1.80s C __order__ from otype, oslots, __levels__\n", " | | 0.08s C __rank__ from otype, __order__\n", " | | 3.39s C __levUp__ from otype, oslots, __rank__\n", " | | 1.97s C __levDown__ from otype, __levUp__, __rank__\n", " | | 0.23s C __characters__ from otext\n", " | | 0.96s C __boundary__ from otype, oslots, __rank__\n", " | | 0.04s 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", " | 0.46s T booknumber from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.52s T bookshort from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.47s T case from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.38s T clausetype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.56s T containedclause from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.42s T degree from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.59s T gloss from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.49s 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", " | 0.58s T lemma from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.52s T lex_dom from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.58s T ln from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.44s 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", " | 0.43s T markorder from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.46s 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", " | 0.53s T morph from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.55s 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", " | 0.53s T number from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.44s T person from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.46s T punctuation from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.76s 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", " | 0.49s T roleclausedistance from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.48s T sentence from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.51s T sp from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.51s T sp_full from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.54s T strongs from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.46s T subj_ref from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.45s T tense from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.46s 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", " | 0.38s 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", " | 0.35s T wgrole from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.36s 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", " | 0.51s 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" ] }, { "data": { "text/html": [ "\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", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "
Name# of nodes# slots / node% coverage
book275102.93100
chapter260529.92100
verse794317.35100
sentence801117.20100
wg1054306.85524
word1377791.00100
\n", " Sets: no custom sets
\n", " Features:
\n", "
Nestle 1904 (Low Fat Tree)\n", "
\n", "\n", "
\n", "
\n", "after\n", "
\n", "
str
\n", "\n", " ✅ Characters (eg. punctuations) following the word\n", "\n", "
\n", "\n", "
\n", "
\n", "book\n", "
\n", "
str
\n", "\n", " ✅ Book name (in English language)\n", "\n", "
\n", "\n", "
\n", "
\n", "booknumber\n", "
\n", "
int
\n", "\n", " ✅ NT book number (Matthew=1, Mark=2, ..., Revelation=27)\n", "\n", "
\n", "\n", "
\n", "
\n", "bookshort\n", "
\n", "
str
\n", "\n", " ✅ Book name (abbreviated)\n", "\n", "
\n", "\n", "
\n", "
\n", "case\n", "
\n", "
str
\n", "\n", " ✅ Gramatical case (Nominative, Genitive, Dative, Accusative, Vocative)\n", "\n", "
\n", "\n", "
\n", "
\n", "chapter\n", "
\n", "
int
\n", "\n", " ✅ Chapter number inside book\n", "\n", "
\n", "\n", "
\n", "
\n", "clausetype\n", "
\n", "
str
\n", "\n", " ✅ Clause type details (e.g. Verbless, Minor)\n", "\n", "
\n", "\n", "
\n", "
\n", "containedclause\n", "
\n", "
str
\n", "\n", " 🆗 Contained clause (WG number)\n", "\n", "
\n", "\n", "
\n", "
\n", "degree\n", "
\n", "
str
\n", "\n", " ✅ Degree (e.g. Comparitative, Superlative)\n", "\n", "
\n", "\n", "
\n", "
\n", "gloss\n", "
\n", "
str
\n", "\n", " ✅ English gloss\n", "\n", "
\n", "\n", "
\n", "
\n", "gn\n", "
\n", "
str
\n", "\n", " ✅ Gramatical gender (Masculine, Feminine, Neuter)\n", "\n", "
\n", "\n", "
\n", "
\n", "headverse\n", "
\n", "
str
\n", "\n", " ✅ Start verse number of a sentence\n", "\n", "
\n", "\n", "
\n", "
\n", "junction\n", "
\n", "
str
\n", "\n", " ✅ Junction data related to a wordgroup\n", "\n", "
\n", "\n", "
\n", "
\n", "lemma\n", "
\n", "
str
\n", "\n", " ✅ Lexeme (lemma)\n", "\n", "
\n", "\n", "
\n", "
\n", "lex_dom\n", "
\n", "
str
\n", "\n", " ✅ Lexical domain according to Semantic Dictionary of Biblical Greek, SDBG (not present everywhere?)\n", "\n", "
\n", "\n", "
\n", "
\n", "ln\n", "
\n", "
str
\n", "\n", " ✅ Lauw-Nida lexical classification (not present everywhere?)\n", "\n", "
\n", "\n", "
\n", "
\n", "markafter\n", "
\n", "
str
\n", "\n", " 🆗 Text critical marker after word\n", "\n", "
\n", "\n", "
\n", "
\n", "markbefore\n", "
\n", "
str
\n", "\n", " 🆗 Text critical marker before word\n", "\n", "
\n", "\n", "
\n", "
\n", "markorder\n", "
\n", "
str
\n", "\n", "  Order of punctuation and text critical marker\n", "\n", "
\n", "\n", "
\n", "
\n", "monad\n", "
\n", "
int
\n", "\n", " ✅ Monad (smallest token matching word order in the corpus)\n", "\n", "
\n", "\n", "
\n", "
\n", "mood\n", "
\n", "
str
\n", "\n", " ✅ Gramatical mood of the verb (passive, etc)\n", "\n", "
\n", "\n", "
\n", "
\n", "morph\n", "
\n", "
str
\n", "\n", " ✅ Morphological tag (Sandborg-Petersen morphology)\n", "\n", "
\n", "\n", "
\n", "
\n", "nodeID\n", "
\n", "
str
\n", "\n", " ✅ Node ID (as in the XML source data)\n", "\n", "
\n", "\n", "
\n", "
\n", "normalized\n", "
\n", "
str
\n", "\n", " ✅ Surface word with accents normalized and trailing punctuations removed\n", "\n", "
\n", "\n", "
\n", "
\n", "nu\n", "
\n", "
str
\n", "\n", " ✅ Gramatical number (Singular, Plural)\n", "\n", "
\n", "\n", "
\n", "
\n", "number\n", "
\n", "
str
\n", "\n", " ✅ Gramatical number of the verb (e.g. singular, plural)\n", "\n", "
\n", "\n", "
\n", "
\n", "otype\n", "
\n", "
str
\n", "\n", " \n", "\n", "
\n", "\n", "
\n", "
\n", "person\n", "
\n", "
str
\n", "\n", " ✅ Gramatical person of the verb (first, second, third)\n", "\n", "
\n", "\n", "
\n", "
\n", "punctuation\n", "
\n", "
str
\n", "\n", " ✅ Punctuation after word\n", "\n", "
\n", "\n", "
\n", "
\n", "ref\n", "
\n", "
str
\n", "\n", " ✅ Value of the ref ID (taken from XML sourcedata)\n", "\n", "
\n", "\n", "
\n", "
\n", "reference\n", "
\n", "
str
\n", "\n", " ✅ Reference (to nodeID in XML source data, not yet post-processes)\n", "\n", "
\n", "\n", "
\n", "
\n", "roleclausedistance\n", "
\n", "
str
\n", "\n", " ⚠️ Distance to the wordgroup defining the syntactical role of this word\n", "\n", "
\n", "\n", "
\n", "
\n", "sentence\n", "
\n", "
int
\n", "\n", " ✅ Sentence number (counted per chapter)\n", "\n", "
\n", "\n", "
\n", "
\n", "sp\n", "
\n", "
str
\n", "\n", " ✅ Part of Speech (abbreviated)\n", "\n", "
\n", "\n", "
\n", "
\n", "sp_full\n", "
\n", "
str
\n", "\n", " ✅ Part of Speech (long description)\n", "\n", "
\n", "\n", "
\n", "
\n", "strongs\n", "
\n", "
str
\n", "\n", " ✅ Strongs number\n", "\n", "
\n", "\n", "
\n", "
\n", "subj_ref\n", "
\n", "
str
\n", "\n", " 🆗 Subject reference (to nodeID in XML source data, not yet post-processes)\n", "\n", "
\n", "\n", "
\n", "
\n", "tense\n", "
\n", "
str
\n", "\n", " ✅ Gramatical tense of the verb (e.g. Present, Aorist)\n", "\n", "
\n", "\n", "
\n", "
\n", "type\n", "
\n", "
str
\n", "\n", " ✅ Gramatical type of noun or pronoun (e.g. Common, Personal)\n", "\n", "
\n", "\n", "
\n", "
\n", "unicode\n", "
\n", "
str
\n", "\n", " ✅ Word as it apears in the text in Unicode (incl. punctuations)\n", "\n", "
\n", "\n", "
\n", "
\n", "verse\n", "
\n", "
int
\n", "\n", " ✅ Verse number inside chapter\n", "\n", "
\n", "\n", "
\n", "
\n", "voice\n", "
\n", "
str
\n", "\n", " ✅ Gramatical voice of the verb (e.g. active,passive)\n", "\n", "
\n", "\n", "
\n", "
\n", "wgclass\n", "
\n", "
str
\n", "\n", " ✅ Class of the wordgroup (e.g. cl, np, vp)\n", "\n", "
\n", "\n", "
\n", "
\n", "wglevel\n", "
\n", "
int
\n", "\n", " 🆗 Number of the parent wordgroups for a wordgroup\n", "\n", "
\n", "\n", "
\n", "
\n", "wgnum\n", "
\n", "
int
\n", "\n", " ✅ Wordgroup number (counted per book)\n", "\n", "
\n", "\n", "
\n", "
\n", "wgrole\n", "
\n", "
str
\n", "\n", " ✅ Syntactical role of the wordgroup (abbreviated)\n", "\n", "
\n", "\n", "
\n", "
\n", "wgrolelong\n", "
\n", "
str
\n", "\n", " ✅ Syntactical role of the wordgroup (full)\n", "\n", "
\n", "\n", "
\n", "
\n", "wgrule\n", "
\n", "
str
\n", "\n", " ✅ Wordgroup rule information (e.g. Np-Appos, ClCl2, PrepNp)\n", "\n", "
\n", "\n", "
\n", "
\n", "wgtype\n", "
\n", "
str
\n", "\n", " ✅ Wordgroup type details (e.g. group, apposition)\n", "\n", "
\n", "\n", "
\n", "
\n", "word\n", "
\n", "
str
\n", "\n", " ✅ Word as it appears in the text (excl. punctuations)\n", "\n", "
\n", "\n", "
\n", "
\n", "wordlevel\n", "
\n", "
str
\n", "\n", " 🆗 Number of the parent wordgroups for a word\n", "\n", "
\n", "\n", "
\n", "
\n", "wordrole\n", "
\n", "
str
\n", "\n", " ✅ Syntactical role of the word (abbreviated)\n", "\n", "
\n", "\n", "
\n", "
\n", "wordrolelong\n", "
\n", "
str
\n", "\n", " ✅ Syntactical role of the word (full)\n", "\n", "
\n", "\n", "
\n", "
\n", "wordtranslit\n", "
\n", "
str
\n", "\n", " 🆗 Transliteration of the text (in latin letters, excl. punctuations)\n", "\n", "
\n", "\n", "
\n", "
\n", "wordunacc\n", "
\n", "
str
\n", "\n", " ✅ Word without accents (excl. punctuations)\n", "\n", "
\n", "\n", "
\n", "
\n", "oslots\n", "
\n", "
none
\n", "\n", " \n", "\n", "
\n", "\n", "
\n", "
\n", "\n", " Settings:
specified
  1. apiVersion: 3
  2. appName: tonyjurg/Nestle1904LFT
  3. appPath:C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/app
  4. commit: no value
  5. css: ''
  6. dataDisplay:
    • excludedFeatures:
      • orig_order
      • verse
      • book
      • chapter
    • noneValues:
      • none
      • unknown
      • no value
      • NA
      • ''
    • showVerseInTuple: 0
    • textFormat: text-orig-full
  7. 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
  8. interfaceDefaults: {fmt: layout-orig-full}
  9. isCompatible: True
  10. local: no value
  11. localDir:C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/_temp
  12. 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>
  13. release: no value
  14. 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
  15. writing: grc
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
TF API: names N F E L T S C TF Fs Fall Es Eall Cs Call directly usable
" ], "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": 4, "id": "a0e660f0-6bac-4b9c-aea1-c38214448e66", "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": 5, "id": "f2e5df9d-ab71-4e60-af03-2d9ad1fe668c", "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": "0f30877b-e26c-4f1c-adb8-3173876d1613", "metadata": {}, "source": [ "## 4 - Discussion\n", "\n", "TBA" ] }, { "cell_type": "markdown", "id": "c5a758e8-dea6-423b-9c9b-ca0c00c5d266", "metadata": {}, "source": [ "# 5 - Footnotes and attribution \n", "##### [Back to TOC](#TOC)\n", "\n", "#### Attribution:\n", "\n", "Thanks to Prof. Willem van Peursen (VU) 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", "(...)\n", "Repetition (e.g. why are “feet” repeated three times in Luke 7:38) (...)\n", "\n", "#### Footnotes:\n", "\n", "1 Muraoka, Takamitsu. *Why Read the Bible in the Original Languages?* (Leuven: Peeters Publishers, 2020), 73." ] }, { "cell_type": "markdown", "id": "5c1db739-e5f6-4cb6-8d3e-558802608ec4", "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": "251ffcc1-4e57-4196-a605-ebe13f0904d4", "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 }