Hebrew OT Noun Morphology¶

Statistical analysis of Hebrew noun morphology across the Old Testament. Data: MACULA Hebrew WLC (~468,000 tokens; ~144,000 Hebrew noun tokens).

Hebrew nouns have three morphological categories:

• State: absolute (free) / construct (bound to following genitive) / determined*
• Gender: masculine / feminine
• Number: singular / plural / dual

*Note: Biblical Hebrew marks definiteness with a separate definite article prefix ה — not an internal state. The 'determined' state appears in Aramaic, not Hebrew.

This notebook covers:

1. Overall noun statistics and state/gender/number profiles
2. State distribution: absolute vs. construct
3. Construct chain analysis — top lemmas in construct state
4. Gender distribution across books
5. Definite article usage by genre
6. Top noun lemmas and lemma × state crosstab
7. Distribution across OT books and genres

In [ ]:

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

from bible_grammar.ot_noun_profile import (
    ot_noun_data, ot_adj_data,
    ot_noun_gender_profile, ot_noun_number_profile, ot_noun_state_profile,
    ot_noun_gender_state, ot_noun_top_lemmas, ot_noun_lemma_state,
    ot_noun_book_distribution, ot_noun_genre_profile,
    ot_article_usage, ot_construct_top_lemmas,
    print_ot_noun_overview, print_ot_noun_gender, print_ot_noun_state,
    print_ot_noun_top_lemmas, print_ot_construct_top_lemmas,
    print_ot_noun_genre_profile, print_ot_noun_book_distribution, print_ot_article_usage,
    ot_noun_state_chart, ot_noun_gender_chart, ot_noun_genre_heatmap, ot_noun_book_chart,
)

import sys sys.path.insert(0, '../../../src') from bible_grammar.ot_noun_profile import ( ot_noun_data, ot_adj_data, ot_noun_gender_profile, ot_noun_number_profile, ot_noun_state_profile, ot_noun_gender_state, ot_noun_top_lemmas, ot_noun_lemma_state, ot_noun_book_distribution, ot_noun_genre_profile, ot_article_usage, ot_construct_top_lemmas, print_ot_noun_overview, print_ot_noun_gender, print_ot_noun_state, print_ot_noun_top_lemmas, print_ot_construct_top_lemmas, print_ot_noun_genre_profile, print_ot_noun_book_distribution, print_ot_article_usage, ot_noun_state_chart, ot_noun_gender_chart, ot_noun_genre_heatmap, ot_noun_book_chart, )

---

1. Overview¶

Nouns make up roughly 30% of Hebrew word tokens — the largest single word class after verbs and prepositions. There are ~6,100 distinct noun lemmas.

Key facts for BBH students:

• Hebrew does not have a 'determined state' morphology — definiteness is marked by the prefix article ה (class_='art' in MACULA, a separate token)
• Roughly half of all noun tokens appear in the construct state (bound form)
• The masculine gender dominates; feminine is marked (usually by ה- / ת- suffix)

In [ ]:

print_ot_noun_overview()

print_ot_noun_overview()

---

2. State Distribution — Absolute vs. Construct¶

The construct state marks a noun bound to the next word (its genitive):

• בֵּית יְהוָה = "the house of YHWH" (בֵּית = construct of בַּיִת)
• מֶלֶךְ יִשְׂרָאֵל = "king of Israel"

Construct chains are one of the most common syntactic patterns in Hebrew.

In [ ]:

print_ot_noun_state()

print_ot_noun_state()

In [ ]:

from IPython.display import Image
path = ot_noun_state_chart()
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = ot_noun_state_chart() print(f'Saved: {path}') Image(str(path))

In [ ]:

# State profile for Torah only
print_ot_noun_state('Gen')

# State profile for Torah only print_ot_noun_state('Gen')

---

3. Construct Chain Analysis¶

Which nouns appear most frequently in the construct state? These are the "binding" nouns in the most common construct chains.

In [ ]:

print_ot_construct_top_lemmas(20)

print_ot_construct_top_lemmas(20)

In [ ]:

# Lemma × state crosstab for the top 15 nouns
ct = ot_noun_lemma_state(top_n=15)
ct

# Lemma × state crosstab for the top 15 nouns ct = ot_noun_lemma_state(top_n=15) ct

---

4. Gender Distribution¶

Hebrew gender is grammatical — every noun has a fixed gender.

• Masculine nouns typically have no special suffix
• Feminine nouns typically end in ה- or ת-
• Some nouns are "both" (common gender — used with either masculine or feminine agreement)

In [ ]:

print_ot_noun_gender()

print_ot_noun_gender()

In [ ]:

from IPython.display import Image
path = ot_noun_gender_chart()
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = ot_noun_gender_chart() print(f'Saved: {path}') Image(str(path))

In [ ]:

# Gender × state crosstab
ct = ot_noun_gender_state()
ct

# Gender × state crosstab ct = ot_noun_gender_state() ct

---

5. Definite Article Usage¶

In Hebrew the definite article ה is a prefix — not a separate word in the MT, but represented as a separate class_='art' token in MACULA WLC.

The article rate (articles per noun) varies by genre:

• Narrative prose tends to have more anarthrous nouns in construct chains
• Poetry and prophecy often use nouns without an article even in definite contexts

In [ ]:

print_ot_article_usage()

print_ot_article_usage()

---

6. Top Noun Lemmas¶

The most frequent Hebrew nouns are largely theological and relational: יהוה (LORD), כֹּל (all), בֵּן (son), אֱלֹהִים (God), מֶלֶךְ (king), אֶרֶץ (land/earth).

In [ ]:

print_ot_noun_top_lemmas(25)

print_ot_noun_top_lemmas(25)

---

7. Genre and Book Distribution¶

In [ ]:

print_ot_noun_genre_profile()

print_ot_noun_genre_profile()

In [ ]:

from IPython.display import Image
path = ot_noun_genre_heatmap()
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = ot_noun_genre_heatmap() print(f'Saved: {path}') Image(str(path))

In [ ]:

print_ot_noun_book_distribution()

print_ot_noun_book_distribution()

In [ ]:

from IPython.display import Image
path = ot_noun_book_chart()
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = ot_noun_book_chart() print(f'Saved: {path}') Image(str(path))

---

Quick Reference¶

from bible_grammar.ot_noun_profile import (
    # Data
    ot_noun_data,                # Hebrew noun tokens (book= optional)
    ot_adj_data,                 # Hebrew adjective tokens
    ot_noun_state_profile,       # absolute/construct distribution
    ot_noun_gender_profile,      # masculine/feminine distribution
    ot_noun_number_profile,      # singular/plural/dual distribution
    ot_noun_gender_state,        # gender × state crosstab
    ot_noun_top_lemmas,          # top-n most frequent noun lemmas
    ot_noun_lemma_state,         # lemma × state crosstab
    ot_construct_top_lemmas,     # nouns most often in construct state
    ot_article_usage,            # article/noun ratio by genre
    ot_noun_genre_profile,       # state % by genre
    ot_noun_book_distribution,   # count + % per OT book
    # Print
    print_ot_noun_overview,
    print_ot_noun_state,
    print_ot_noun_gender,
    print_ot_noun_top_lemmas,
    print_ot_construct_top_lemmas,
    print_ot_noun_genre_profile,
    print_ot_noun_book_distribution,
    print_ot_article_usage,
    # Charts
    ot_noun_state_chart,
    ot_noun_gender_chart,
    ot_noun_genre_heatmap,
    ot_noun_book_chart,
)