NT Louw-Nida Sub-Domain Precision Queries¶

Fine-grained semantic domain analysis using the ln column in the MACULA Greek NT dataset. Louw & Nida's Greek-English Lexicon of the New Testament Based on Semantic Domains (2 vols., UBS) organizes the Greek lexicon into 93 top-level domains and hundreds of sub-entries.

Data:

• ln column: Louw-Nida sub-domain code (e.g., '33.69', '31.35')
• 127,291 tokens with LN codes (92.4% of all NT tokens)
• 6,907 unique sub-domain codes across 93 domains
• Space-separated for multi-domain words: '10.24 33.19'

Sub-domain distinctions matter for exegesis:

• Domain 31 (Believe/Trust): 31.35 = πιστεύω (actively trust), 31.85 = πίστις (faith as object), 31.102 = πίστις (faithfulness)
• Domain 33 (Communication): 33.69 = λέγω (say), 33.224 = διδάσκω (teach), 33.178 = προσεύχομαι (pray)
• Domain 88 (Ethics): 88.12 = ἀγαθός (good), 88.21 = κακός (evil), 88.213 = ἁμαρτάνω (sin)

Data source: MACULA Greek Nestle1904 (macula-greek/ submodule), Louw-Nida domain codes from United Bible Societies.

In [ ]:

import sys
sys.path.insert(0, '../../../src')

from bible_grammar import (
    nt_ln_data, nt_ln_subdomain_frequency, nt_ln_top_lemmas,
    nt_ln_book_distribution, nt_ln_genre_profile,
    nt_ln_domain_breakdown, nt_ln_comparison,
    print_nt_ln_overview, print_nt_ln_subdomain_frequency,
    print_nt_ln_top_lemmas, print_nt_ln_book_distribution,
    print_nt_ln_domain_breakdown, print_nt_ln_comparison,
    nt_ln_subdomain_chart, nt_ln_book_chart, nt_ln_genre_heatmap,
    LN_DOMAIN_NAMES,
)
import pandas as pd

import sys sys.path.insert(0, '../../../src') from bible_grammar import ( nt_ln_data, nt_ln_subdomain_frequency, nt_ln_top_lemmas, nt_ln_book_distribution, nt_ln_genre_profile, nt_ln_domain_breakdown, nt_ln_comparison, print_nt_ln_overview, print_nt_ln_subdomain_frequency, print_nt_ln_top_lemmas, print_nt_ln_book_distribution, print_nt_ln_domain_breakdown, print_nt_ln_comparison, nt_ln_subdomain_chart, nt_ln_book_chart, nt_ln_genre_heatmap, LN_DOMAIN_NAMES, ) import pandas as pd

1. Overview¶

In [ ]:

print_nt_ln_overview()

print_nt_ln_overview()

In [ ]:

# All 93 top-level LN domains
domain_df = pd.DataFrame([
    {'domain': k, 'name': v} for k, v in LN_DOMAIN_NAMES.items()
])
print(f"Total top-level domains: {len(domain_df)}")
domain_df.head(30)

# All 93 top-level LN domains domain_df = pd.DataFrame([ {'domain': k, 'name': v} for k, v in LN_DOMAIN_NAMES.items() ]) print(f"Total top-level domains: {len(domain_df)}") domain_df.head(30)

2. Faith Vocabulary — Domain 31 (Hold a View, Believe, Trust)¶

One of the most theologically significant domain groups. Sub-domain distinctions reveal different aspects of NT faith language:

• 31.35: πιστεύω as active trust/belief in a person
• 31.85: πίστις as the content/object of faith
• 31.102: πίστις as faithfulness/reliability

In [ ]:

print_nt_ln_subdomain_frequency(31, top_n=20)

print_nt_ln_subdomain_frequency(31, top_n=20)

In [ ]:

nt_ln_subdomain_chart(31, top_n=15)

nt_ln_subdomain_chart(31, top_n=15)

In [ ]:

# πίστις as faithfulness (31.102) — where does this sense dominate?
print_nt_ln_top_lemmas('31.102', top_n=10)
print_nt_ln_book_distribution('31.102')

# πίστις as faithfulness (31.102) — where does this sense dominate? print_nt_ln_top_lemmas('31.102', top_n=10) print_nt_ln_book_distribution('31.102')

In [ ]:

# Compare faith vocabulary across Paul's letters vs. James
print_nt_ln_comparison(['Rom', 'Gal', 'Heb', 'Jas'], 31)

# Compare faith vocabulary across Paul's letters vs. James print_nt_ln_comparison(['Rom', 'Gal', 'Heb', 'Jas'], 31)

3. Communication — Domain 33¶

The largest theologically relevant domain in the NT. Sub-domains distinguish:

• 33.69: λέγω / εἶπεν — the basic speech verb
• 33.224: διδάσκω — teach
• 33.178: προσεύχομαι — pray
• 33.55: νόμος — law/written communication

In [ ]:

print_nt_ln_subdomain_frequency(33, top_n=20)

print_nt_ln_subdomain_frequency(33, top_n=20)

In [ ]:

nt_ln_subdomain_chart(33, top_n=20)

nt_ln_subdomain_chart(33, top_n=20)

In [ ]:

# Teaching vocabulary (33.224) — Matthew vs. John
print_nt_ln_top_lemmas('33.224', top_n=10)
print_nt_ln_comparison(['Mat', 'Mrk', 'Luk', 'Jhn', 'Act'], 33)

# Teaching vocabulary (33.224) — Matthew vs. John print_nt_ln_top_lemmas('33.224', top_n=10) print_nt_ln_comparison(['Mat', 'Mrk', 'Luk', 'Jhn', 'Act'], 33)

4. Ethics and Moral Qualities — Domain 88¶

In [ ]:

print_nt_ln_subdomain_frequency(88, top_n=20)

print_nt_ln_subdomain_frequency(88, top_n=20)

In [ ]:

# Sin vocabulary across Paul, James, and 1 John
print_nt_ln_comparison(['Rom', 'Gal', 'Jas', '1Jn'], 88)

# Sin vocabulary across Paul, James, and 1 John print_nt_ln_comparison(['Rom', 'Gal', 'Jas', '1Jn'], 88)

5. Religious Activity — Domain 53¶

In [ ]:

print_nt_ln_subdomain_frequency(53, top_n=20)

print_nt_ln_subdomain_frequency(53, top_n=20)

In [ ]:

nt_ln_subdomain_chart(53, top_n=15)

nt_ln_subdomain_chart(53, top_n=15)

6. Supernatural Beings — Domain 12¶

In [ ]:

print_nt_ln_subdomain_frequency(12, top_n=15)

print_nt_ln_subdomain_frequency(12, top_n=15)

In [ ]:

# 12.1 = God/Theos — where is this most dense?
print_nt_ln_top_lemmas('12.1', top_n=8)
nt_ln_book_chart('12.1')

# 12.1 = God/Theos — where is this most dense? print_nt_ln_top_lemmas('12.1', top_n=8) nt_ln_book_chart('12.1')

7. Book Semantic Domain Heatmap¶

In [ ]:

# Compare theology-relevant domains across Gospels and Paul
nt_ln_genre_heatmap(
    [12, 31, 33, 53, 88, 21, 39],
    books=['Mat', 'Mrk', 'Luk', 'Jhn', 'Act', 'Rom', 'Gal', 'Eph', 'Rev']
)

# Compare theology-relevant domains across Gospels and Paul nt_ln_genre_heatmap( [12, 31, 33, 53, 88, 21, 39], books=['Mat', 'Mrk', 'Luk', 'Jhn', 'Act', 'Rom', 'Gal', 'Eph', 'Rev'] )

8. Ad-hoc Queries¶

In [ ]:

# Salvation/safety domain (21) — breakdown
print_nt_ln_subdomain_frequency(21, top_n=15)

# Salvation/safety domain (21) — breakdown print_nt_ln_subdomain_frequency(21, top_n=15)

In [ ]:

# Reconciliation/Forgiveness (39) — what senses appear?
print_nt_ln_subdomain_frequency(39, top_n=15)

# Reconciliation/Forgiveness (39) — what senses appear? print_nt_ln_subdomain_frequency(39, top_n=15)

In [ ]:

# Custom sub-domain query
# Get all tokens tagged 33.69 (λέγω = say/speak) in the Sermon on the Mount
sermon_say = nt_ln_data('33.69', book='Mat')
ch5_7 = sermon_say[sermon_say['chapter'].isin([5, 6, 7])]
print(f"'Say' verbs in Sermon on the Mount (Mat 5–7): {len(ch5_7)}")
ch5_7[['text', 'lemma', 'gloss', 'chapter', 'verse']].head(15)

# Custom sub-domain query # Get all tokens tagged 33.69 (λέγω = say/speak) in the Sermon on the Mount sermon_say = nt_ln_data('33.69', book='Mat') ch5_7 = sermon_say[sermon_say['chapter'].isin([5, 6, 7])] print(f"'Say' verbs in Sermon on the Mount (Mat 5–7): {len(ch5_7)}") ch5_7[['text', 'lemma', 'gloss', 'chapter', 'verse']].head(15)