{ "cells": [ { "cell_type": "markdown", "id": "b33ecd94-2835-4391-9f08-670b379d13de", "metadata": {}, "source": [ "# Speaking to objects (Nestle1904LFT)\n", "\n", "*Work in progress! it needs to be updated to the new datastructure*" ] }, { "cell_type": "markdown", "id": "d53d318b-65fe-4980-8a48-daddd355f115", "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 - Find phrase combinations where someone is speaking\n", " * 3.2 - TBD\n", "* 4 - Discussion\n", "* 5 - Atribution and footnotes\n", "* 6 - Required libraries" ] }, { "cell_type": "markdown", "id": "8ab013e2-c82e-4cd8-a54f-d696b1bebd41", "metadata": {}, "source": [ "# 1 - Introduction \n", "##### [Back to TOC](#TOC)\n", "\n", "TBD" ] }, { "cell_type": "markdown", "id": "111d375c-1586-44a2-83c4-79ae3ad3bdb8", "metadata": {}, "source": [ "## 1.1 - Why is this relevant? \n", "\n", "TBD" ] }, { "cell_type": "markdown", "id": "ab706eb1-49c4-4f5e-96d2-ca62f45dae37", "metadata": { "tags": [] }, "source": [ "## 1.2 - Translating into Text-Fabric queries \n", "\n", "Since we are looking for situations where someone or something is speaking to an object, we first need to look for phrases with function 'Object function' (O). \n", "\n", "\n", "It is using the classification by [Louw-Nida](https://www.laparola.net/greco/louwnida.php):\n", "> ```\n", "1 Geographical Objects and Features\n", "2 Natural Substances\n", "3 Plants\n", "4 Animals\n", "5 Foods and Condiments\n", "6 Artifacts\n", "7 Constructions\n", "```\n", "\n", "Lookup of values for feature ln in [Louw-Nida Lexicon](https://www.laparola.net/greco/louwnida.php).\n", "\n", "In the Text-Fabric database the information is stored in feature [ln](https://github.com/tonyjurg/Nestle1904LFT/blob/main/docs/features/ln.md#readme).\n", "\n", "A related feature is [lex_dom](https://github.com/tonyjurg/Nestle1904LFT/blob/main/docs/features/lex_dom.md#readme)" ] }, { "cell_type": "markdown", "id": "dbc8843b-4930-4ab4-b92b-dbbfb76ca88f", "metadata": {}, "source": [ "# 2 - Load Text-Fabric app and data \n", "##### [Back to TOC](#TOC)" ] }, { "cell_type": "code", "execution_count": 1, "id": "9cc1b0db-edf8-4795-af72-2f2be414d5d8", "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "code", "execution_count": 2, "id": "6abd3aa9-e545-48f1-8392-33b63e28db6d", "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": "61625284-ca5a-4832-b188-c881d8efceca", "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", " | 2.38s 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", " | 0.65s T normalized from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.51s T after from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.61s T wordtranslit from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.63s T word from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.63s T unicode from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.62s T wordunacc from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.51s T chapter from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.51s T verse from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | | 0.06s C __levels__ from otype, oslots, otext\n", " | | 1.90s C __order__ from otype, oslots, __levels__\n", " | | 0.08s C __rank__ from otype, __order__\n", " | | 3.47s C __levUp__ from otype, oslots, __rank__\n", " | | 2.04s C __levDown__ from otype, __levUp__, __rank__\n", " | | 0.25s C __characters__ from otext\n", " | | 0.95s C __boundary__ from otype, oslots, __rank__\n", " | | 0.04s C __sections__ from otype, oslots, otext, __levUp__, __levels__, book, chapter, verse\n", " | | 0.26s 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", " | 0.33s T clausetype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.57s T containedclause from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.43s 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", " | 0.48s T gn from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.04s 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", " | 0.56s T lemma from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.55s T lex_dom from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.54s T ln from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.42s T markafter from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.42s 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", " | 0.46s T monad from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.46s T mood from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.56s T morph from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.57s 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", " | 0.51s 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", " | 0.44s T punctuation from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.68s 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", " | 0.50s 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", " | 0.53s 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", " | 0.44s T subj_ref from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.44s T tense from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.47s 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", " | 0.39s T wgclass from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.34s T wglevel from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.36s 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", " | 0.36s 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", " | 0.33s T wgtype from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.52s T wordlevel from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.52s T wordrole from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6\n", " | 0.51s 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": "650b5f0d-bbd7-4128-9834-50c8bf61cce7", "metadata": { "tags": [] }, "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": "805bb3c1-2ae3-4898-bd14-deab1041b3d0", "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": "6cee9712-ae79-477c-9f39-1a51e3a0a8a1", "metadata": {}, "source": [ "# 3 - Performing the queries \n", "##### [Back to TOC](#TOC)" ] }, { "cell_type": "markdown", "id": "e2b752ab-1b2a-46f3-a079-fe0a45555b8d", "metadata": {}, "source": [ "## 3.1 - Find phrase combinations where someone is speaking\n", "##### [Back to TOC](#TOC)\n", "\n", "For demonstration purposes the table output is limited to 3 results." ] }, { "cell_type": "code", "execution_count": 12, "id": "7dc0bcba-58a5-49c4-b2bd-2d9c5149786d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " 0.34s 29 results\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "
npsentencewgwordwgword
1Matthew 3:3οὗτος γάρ ἐστιν ὁ ῥηθεὶς διὰ Ἠσαΐου τοῦ προφήτου λέγοντος Φωνὴ βοῶντος ἐν τῇ ἐρήμῳ Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. ὁ ῥηθεὶς διὰ Ἠσαΐου τοῦ προφήτου λέγοντος Φωνὴ βοῶντος ἐν τῇ ἐρήμῳ Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. λέγοντος Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. ὁδὸν
2Matthew 3:3οὗτος γάρ ἐστιν ὁ ῥηθεὶς διὰ Ἠσαΐου τοῦ προφήτου λέγοντος Φωνὴ βοῶντος ἐν τῇ ἐρήμῳ Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. ὁ ῥηθεὶς διὰ Ἠσαΐου τοῦ προφήτου λέγοντος Φωνὴ βοῶντος ἐν τῇ ἐρήμῳ Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. λέγοντος Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. τρίβους
3Matthew 3:3οὗτος γάρ ἐστιν ὁ ῥηθεὶς διὰ Ἠσαΐου τοῦ προφήτου λέγοντος Φωνὴ βοῶντος ἐν τῇ ἐρήμῳ Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. ὁ ῥηθεὶς διὰ Ἠσαΐου τοῦ προφήτου λέγοντος Φωνὴ βοῶντος ἐν τῇ ἐρήμῳ Ἑτοιμάσατε τὴν ὁδὸν Κυρίου, εὐθείας ποιεῖτε τὰς τρίβους αὐτοῦ. λέγοντος τὴν ὁδὸν Κυρίου, ὁδὸν
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Define the query template [still to be fine-tuned!]\n", "SearchObjectPhrases = '''\n", "sentence\n", " a:wg wgrole=v|p\n", " word lemma=λέγω\n", " b:wg wgrole=o\n", " word ln~^[12345679]\\.\n", "'''\n", "\n", "# The following will create a list containing ordered tuples consisting of node numbers of the items as they appear in the query\n", "ObjectPhrasesList = N1904.search(SearchObjectPhrases)\n", "\n", "# Just print a few of the results in a table\n", "N1904.table(ObjectPhrasesList, condensed=False, extraFeatures={'lemma'}, end=3)" ] }, { "cell_type": "markdown", "id": "e7614415-5bcb-45a0-9f1a-5da625c24f9c", "metadata": {}, "source": [ "Another method to display a limit amount of output, this time using [`plainTuple`](https://annotation.github.io/text-fabric/tf/advanced/display.html#tf.advanced.display.plainTuple) is the following:" ] }, { "cell_type": "code", "execution_count": 13, "id": "1d53ff65-c761-48dc-b915-07831a012d1f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " 0.34s 1 result\n" ] }, { "data": { "text/html": [ "
npsentencewgwordwgword
Mark 5:41καὶ κρατήσας τῆς χειρὸς τοῦ παιδίου λέγει αὐτῇ Ταλιθὰ κούμ, ὅ ἐστιν μεθερμηνευόμενον Τὸ κοράσιον, σοὶ λέγω, ἔγειρε. Τὸ κοράσιον, σοὶ λέγω, ἔγειρε. λέγω, τῆς χειρὸς τοῦ παιδίου παιδίου
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Limit the query result to 1\n", "TruncatedObjectPhrasesList = N1904.search(SearchObjectPhrases,limit=1)\n", "for NodesTuple in TruncatedObjectPhrasesList: N1904.plainTuple(NodesTuple)" ] }, { "cell_type": "markdown", "id": "47a87214-feb2-4b04-9057-91f302ba600c", "metadata": {}, "source": [ "## 3.2 - second try (in progress) \n", "##### [Back to TOC](#TOC)\n", "\n", "For demonstration purposes the table output is limited to the first 10 results.\n", "*the query as it is now only selects the use of 'lego'*" ] }, { "cell_type": "code", "execution_count": 14, "id": "d2f0f841-cf4a-4433-8aef-f496db01ef62", "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'NodeFeatures' object has no attribute 'gloss_EN'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[1;32mIn[14], line 6\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m node \u001b[38;5;129;01min\u001b[39;00m F\u001b[38;5;241m.\u001b[39mlemma\u001b[38;5;241m.\u001b[39ms(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mλέγω\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m 5\u001b[0m ThisResult\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m----> 6\u001b[0m gloss\u001b[38;5;241m=\u001b[39mF\u001b[38;5;241m.\u001b[39mgloss_EN\u001b[38;5;241m.\u001b[39mv(node)\n\u001b[0;32m 7\u001b[0m \u001b[38;5;66;03m# Following line creates a nicely formated presentation of the verse\u001b[39;00m\n\u001b[0;32m 8\u001b[0m VerseLocation\u001b[38;5;241m=\u001b[39mN1904\u001b[38;5;241m.\u001b[39msectionStrFromNode(node)\n", "\u001b[1;31mAttributeError\u001b[0m: 'NodeFeatures' object has no attribute 'gloss_EN'" ] } ], "source": [ "MaxNumberOfResuls=10\n", "ThisResult=0\n", "\n", "for node in F.lemma.s('λέγω'):\n", " ThisResult+=1\n", " gloss=F.gloss_EN.v(node)\n", " # Following line creates a nicely formated presentation of the verse\n", " VerseLocation=N1904.sectionStrFromNode(node)\n", " # The following is an alternative allowing free formating:\n", " # VerseLocation=\"{} {}:{}\".format(F.book.v(node),F.chapter.v(node),F.verse.v(node))\n", " print('\\n',ThisResult,'\\t',VerseLocation) \n", " if ThisResult == MaxNumberOfResuls: break\n" ] }, { "cell_type": "markdown", "id": "c10381f9-e941-480f-b9c6-dc2dc14a6378", "metadata": {}, "source": [ "# 4 - Discussion\n", "##### [Back to TOC](#TOC)\n", "\n", "TBA" ] }, { "cell_type": "markdown", "id": "e8a81c9d-4c35-4f30-81b0-b898d7f01255", "metadata": {}, "source": [ "# 5 - Attribution and footnotes\n", "##### [Back to TOC](#TOC)\n", "\n", "NA" ] }, { "cell_type": "markdown", "id": "dfade9ac-c177-4fd6-b8b1-f8d4310dff3e", "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", " {none}\n", "\n", "You can install any missing library from within Jupyter Notebook using either`pip` or `pip3`." ] }, { "cell_type": "code", "execution_count": null, "id": "5406252a-2b9d-4c48-b953-3b6e7f61dea0", "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 }