Speaking to objects (Nestle1904GBI)¶

Work in progress

Table of content ¶

1 - Introduction
- 1.1 - Why is this relevant?
- 1.2 - Translating into Text-Fabric queries
2 - Load Text-Fabric app and data
3 - Performing the queries
- 3.1 - Find phrase combinations where someone is speaking
- 3.2 - TBD
4 - Footnotes and attribution
5 - Required libraries

1 - Introduction ¶

Back to TOC ¶

TBD

1.1 - Why is this relevant? ¶

TBD

1.2 - Translating into Text-Fabric queries ¶

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).

It is using the classification by Louw-Nida:

1 Geographical Objects and Features 2 Natural Substances 3 Plants 4 Animals 5 Foods and Condiments 6 Artifacts 7 Constructions

2 - Load Text-Fabric app and data ¶

Back to TOC ¶

In [2]:

%load_ext autoreload
%autoreload 2

In [1]:

# 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 [2]:

# load the N1904 app and data
N1904 = use ("tonyjurg/Nestle1904GBI", version="0.4", hoist=globals())

Locating corpus resources ...

app: ~/text-fabric-data/github/tonyjurg/Nestle1904GBI/app

data: ~/text-fabric-data/github/tonyjurg/Nestle1904GBI/tf/0.4

Text-Fabric: Text-Fabric API 11.4.10, 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

book

str

booknum

int

bookshort

str

case

str

chapter

int

clause

int

clauserule

str

clausetype

str

degree

str

formaltag

str

functionaltag

str

gloss

str

gn

str

lemma

str

lex_dom

str

ln

str

monad

int

mood

str

nodeID

str

normalized

str

nu

str

number

str

otype

str

person

str

phrase

int

str

str

str

int

sp

str

splong

str

strongs

str

subj_ref

str

tense

str

type

str

verse

int

voice

str

word

str

oslots

none

Text-Fabric API: names N F E L T S C TF directly usable

In [3]:

# The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer)
N1904.dh(N1904.getCss())

3 - Performing the queries ¶

Back to TOC ¶

3.1 - Find phrase combinations where someone is speaking ¶

Back to TOC ¶

For demonstration purposes the table output is limited to 3 results.

In [4]:

# Define the query template
SearchObjectPhrases = '''
book 
  chapter
       clause
         a:phrase phrasefunction=V
           word lemma=λέγω
         b:phrase phrasefunction=O
           word ln~^[12345679]\.
'''

# The following will create a list containing ordered tuples consisting of node numbers of the items as they appear in the query
ObjectPhrasesList = N1904.search(SearchObjectPhrases)

# Just print a few of the results in a table
N1904.table(ObjectPhrasesList, condensed=False, extraFeatures={'lemma'}, end=3)

  0.35s 211 results

n	p	book	chapter	clause	phrase	word	phrase	word
1	Matthew 2:13	Matthew	Matthew 2	ἰδοὺ ἄγγελος κυρίου φαίνεται κατ’ ὄναρ τῷ Ἰωσὴφ λέγων Ἐγερθεὶς παράλαβε τὸ παιδίον καὶ τὴν μητέρα αὐτοῦ καὶ φεῦγε εἰς Αἴγυπτον,	λέγων Ἐγερθεὶς παράλαβε	λέγων	τὸ παιδίον καὶ τὴν μητέρα αὐτοῦ καὶ	παιδίον
2	Matthew 2:13	Matthew	Matthew 2	καὶ ἴσθι ἐκεῖ ἕως ἂν εἴπω σοι· μέλλει γὰρ Ἠρῴδης ζητεῖν τὸ παιδίον τοῦ ἀπολέσαι αὐτό.	εἴπω	εἴπω	τὸ παιδίον	παιδίον
3	Matthew 2:20	Matthew	Matthew 2	ἰδοὺ ἄγγελος Κυρίου φαίνεται κατ’ ὄναρ τῷ Ἰωσὴφ ἐν Αἰγύπτῳ λέγων Ἐγερθεὶς παράλαβε τὸ παιδίον καὶ τὴν μητέρα αὐτοῦ καὶ πορεύου εἰς γῆν Ἰσραήλ· τεθνήκασιν γὰρ οἱ ζητοῦντες τὴν ψυχὴν τοῦ παιδίου.	λέγων Ἐγερθεὶς παράλαβε	λέγων	τὸ παιδίον καὶ τὴν μητέρα αὐτοῦ καὶ	παιδίον

Another method to display a limit amount of output, this time using plainTuple is the following:

In [5]:

# Limit the query result to 1
TruncatedObjectPhrasesList = N1904.search(SearchObjectPhrases,limit=1)
for NodesTuple in TruncatedObjectPhrasesList: N1904.plainTuple(NodesTuple)

  0.34s 1 result

n	p	book	chapter	clause	phrase	word	phrase	word
Matthew 2:13	Matthew	Matthew 2	ἰδοὺ ἄγγελος κυρίου φαίνεται κατ’ ὄναρ τῷ Ἰωσὴφ λέγων Ἐγερθεὶς παράλαβε τὸ παιδίον καὶ τὴν μητέρα αὐτοῦ καὶ φεῦγε εἰς Αἴγυπτον,	λέγων Ἐγερθεὶς παράλαβε	λέγων	τὸ παιδίον καὶ τὴν μητέρα αὐτοῦ καὶ	παιδίον

3.2 - second try (in progress) ¶

Back to TOC ¶

For demonstration purposes the table output is limited to the first 10 results. the query as it is now only selects the use of 'lego'

In [6]:

MaxNumberOfResuls=10
ThisResult=0

for node in F.lemma.s('λέγω'):
    ThisResult+=1
    gloss=F.gloss.v(node)
    # Following line creates a nicely formated presentation of the verse
    VerseLocation=N1904.sectionStrFromNode(node)
    # The following is an alternative allowing free formating:
    #   VerseLocation="{} {}:{}".format(F.book.v(node),F.chapter.v(node),F.verse.v(node))
    print('\n',ThisResult,'\t',VerseLocation)   
    if ThisResult == MaxNumberOfResuls: break

 1 	 Matthew 1:16

 2 	 Matthew 1:20

 3 	 Matthew 1:22

 4 	 Matthew 2:2

 5 	 Matthew 2:5

 6 	 Matthew 2:8

 7 	 Matthew 2:13

 8 	 Matthew 2:13

 9 	 Matthew 2:15

 10 	 Matthew 2:17

4 - Footnotes and attribution ¶

Back to TOC ¶

N.A.

5 - 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 [ ]:

Speaking to objects (Nestle1904GBI)¶

Table of content ¶

1 - Introduction ¶

Back to TOC¶

1.1 - Why is this relevant? ¶

1.2 - Translating into Text-Fabric queries ¶

2 - Load Text-Fabric app and data ¶

Back to TOC¶

3 - Performing the queries ¶

Back to TOC¶

3.1 - Find phrase combinations where someone is speaking¶

Back to TOC¶

3.2 - second try (in progress) ¶

Back to TOC¶

4 - Footnotes and attribution ¶

Back to TOC¶

5 - Required libraries ¶

Back to TOC¶

Back to TOC ¶

Back to TOC ¶

Back to TOC ¶

3.1 - Find phrase combinations where someone is speaking ¶

Back to TOC ¶

Back to TOC ¶

Back to TOC ¶

Back to TOC ¶