Hiphil (הִפְעִיל) Verb Morphology — Biblical Hebrew¶

Statistical analysis of the Hiphil stem across the Hebrew Old Testament. For use in a 2nd-year Biblical Hebrew syntax course.

Sections:

1. Overview & Key Statistics
2. Conjugation (Tense/Aspect) Distribution
3. Most Frequent Hiphil Roots
4. Root × Conjugation Cross-Table
5. Distribution Across Books
6. Hiphil vs. Other Stems by Genre
7. Hiphil-Dominant Roots
8. Semantic Function Categories
9. Generate Full Report

In [ ]:

import sys
sys.path.insert(0, '../../../src')
from bible_grammar import (
    print_hiphil_overview, print_hiphil_conjugation,
    print_hiphil_top_roots, print_hiphil_root_conjugation,
    print_hiphil_book_distribution, print_hiphil_dominant_roots,
    print_hiphil_semantic_categories,
    hiphil_conjugation_chart, hiphil_book_chart,
    hiphil_stem_chart, hiphil_root_heatmap,
    hiphil_semantic_chart, hiphil_top_roots_chart,
    hiphil_report,
    hiphil_data, hiphil_conjugation_profile, hiphil_top_roots,
    hiphil_book_distribution, hiphil_dominant_roots,
    hiphil_stem_comparison, hiphil_semantic_categories,
)
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
print('Ready.')

import sys sys.path.insert(0, '../../../src') from bible_grammar import ( print_hiphil_overview, print_hiphil_conjugation, print_hiphil_top_roots, print_hiphil_root_conjugation, print_hiphil_book_distribution, print_hiphil_dominant_roots, print_hiphil_semantic_categories, hiphil_conjugation_chart, hiphil_book_chart, hiphil_stem_chart, hiphil_root_heatmap, hiphil_semantic_chart, hiphil_top_roots_chart, hiphil_report, hiphil_data, hiphil_conjugation_profile, hiphil_top_roots, hiphil_book_distribution, hiphil_dominant_roots, hiphil_stem_comparison, hiphil_semantic_categories, ) import pandas as pd import matplotlib.pyplot as plt import matplotlib.image as mpimg print('Ready.')

---

1. Overview & Key Statistics¶

The Hiphil is the causative-active stem of Biblical Hebrew. It prefixes הִ- in the perfect and uses characteristic i-vowels in other forms.

Three main semantic functions:

• Causative: הֵבִיא 'he brought' ← Qal בּוֹא 'to come'
• Declarative/Estimative: הִצְדִּיק 'declared righteous' ← צָדַק
• Factitive: הֶחֱזִיק 'he strengthened' ← חָזַק 'to be strong'

In [ ]:

print_hiphil_overview()

print_hiphil_overview()

---

2. Conjugation (Tense/Aspect) Distribution¶

Which conjugation types does the Hiphil appear in most frequently? This tells us where in discourse the Hiphil is used — narrative chains, commands, etc.

In [ ]:

print_hiphil_conjugation()  # Whole OT

# Compare Genesis (narrative) vs. Psalms (poetry)
print_hiphil_conjugation('Gen')
print_hiphil_conjugation('Psa')

print_hiphil_conjugation() # Whole OT # Compare Genesis (narrative) vs. Psalms (poetry) print_hiphil_conjugation('Gen') print_hiphil_conjugation('Psa')

In [ ]:

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

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

---

3. Most Frequent Hiphil Roots¶

These are the verbs students will encounter most often in the Hiphil. The top 5 — בּוֹא, נָכָה, שׁוּב, נָגַד, יָצָא — account for ~20% of all Hiphil tokens.

In [ ]:

print_hiphil_top_roots(25)

print_hiphil_top_roots(25)

In [ ]:

from IPython.display import Image
path = hiphil_top_roots_chart(20)
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = hiphil_top_roots_chart(20) print(f'Saved: {path}') Image(str(path))

---

4. Root × Conjugation Cross-Table¶

Which conjugations does each root favor? This reveals important usage patterns:

• נָכָה (strike): wayyiqtol-heavy → narrative combat scenes
• יָסַף (add / again): yiqtol-heavy → future/habitual 'will do again'
• נָגַד (tell): strong imperative → commands to report
• רָבָה (multiply): inf.abs-heavy → emphatic idiom (רָבָה יִרְבֶּה)

In [ ]:

print_hiphil_root_conjugation(top_n=15)

print_hiphil_root_conjugation(top_n=15)

In [ ]:

from IPython.display import Image
path = hiphil_root_heatmap(top_n=15)
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = hiphil_root_heatmap(top_n=15) print(f'Saved: {path}') Image(str(path))

---

5. Distribution Across Books¶

Psalms leads in raw Hiphil count (887 tokens). But as a percentage of book verbs, Job and Psalms rank highest (~15%) — poetry uses proportionally more Hiphil.

In [ ]:

print_hiphil_book_distribution(top_n=20)

print_hiphil_book_distribution(top_n=20)

In [ ]:

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

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

---

6. Hiphil vs. Other Stems by Genre¶

Hiphil (shown in red) represents 9–16% of verbs per book. Compare with Qal (60–81%), Piel (7–15%), Niphal (3–8%).

In [ ]:

from bible_grammar import hiphil_stem_comparison
df = hiphil_stem_comparison(['Gen', 'Exo', 'Deu', 'Psa', 'Isa', 'Jer', 'Pro', 'Job'])
print(df.to_string())

from bible_grammar import hiphil_stem_comparison df = hiphil_stem_comparison(['Gen', 'Exo', 'Deu', 'Psa', 'Isa', 'Jer', 'Pro', 'Job']) print(df.to_string())

In [ ]:

from IPython.display import Image
path = hiphil_stem_chart(['Gen', 'Exo', 'Deu', 'Psa', 'Isa', 'Jer', 'Pro', 'Job'])
print(f'Saved: {path}')
Image(str(path))

from IPython.display import Image path = hiphil_stem_chart(['Gen', 'Exo', 'Deu', 'Psa', 'Isa', 'Jer', 'Pro', 'Job']) print(f'Saved: {path}') Image(str(path))

---

7. Hiphil-Dominant Roots (≥70%)¶

These roots are functionally Hiphil-only — they appear almost exclusively in the Hiphil, with no separate Qal form in use. Students should recognize these as 'built-in causatives.'

Highlights:

• שָׁכַם 'rose early' — 100% Hiphil (65/65 tokens)
• נָבַט 'look' — 98.6% Hiphil
• נָכָה 'strike' — 96.2% Hiphil
• קָשַׁב 'listen' — 97.8% Hiphil

In [ ]:

print_hiphil_dominant_roots(top_n=25)

print_hiphil_dominant_roots(top_n=25)

In [ ]:

# Get raw data for custom analysis
dom = hiphil_dominant_roots(min_pct=90, min_tokens=20)
print('Roots ≥90% Hiphil with ≥20 tokens:')
print(dom[['root','lemma','hiphil_count','hif_pct','top_gloss']].to_string(index=False))

# Get raw data for custom analysis dom = hiphil_dominant_roots(min_pct=90, min_tokens=20) print('Roots ≥90% Hiphil with ≥20 tokens:') print(dom[['root','lemma','hiphil_count','hif_pct','top_gloss']].to_string(index=False))

---

8. Semantic Function Categories¶

Categories derived from MACULA English gloss annotations. The Hiphil spans a remarkably wide semantic range.

In [ ]:

print_hiphil_semantic_categories()

print_hiphil_semantic_categories()

In [ ]:

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

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

---

9. Generate Full Report¶

Generates a Markdown report with all tables and embeds all 6 charts. Saved to output/reports/ot/verbs/hiphil_report.md.

In [ ]:

path = hiphil_report()
print(f'Report: {path}')

path = hiphil_report() print(f'Report: {path}')

---

Quick Reference¶

# All functions available via:
from bible_grammar import (
    # Data
    hiphil_data,                 # all tokens (or filtered by book)
    hiphil_conjugation_profile,  # type_ distribution DataFrame
    hiphil_top_roots,            # most frequent roots
    hiphil_root_conjugation,     # root × conjugation crosstab
    hiphil_book_distribution,    # count + % per book
    hiphil_stem_comparison,      # all stems % by book
    hiphil_dominant_roots,       # roots ≥X% Hiphil
    hiphil_semantic_categories,  # semantic function counts
    # Print
    print_hiphil_overview,
    print_hiphil_conjugation,
    print_hiphil_top_roots,
    print_hiphil_root_conjugation,
    print_hiphil_book_distribution,
    print_hiphil_dominant_roots,
    print_hiphil_semantic_categories,
    # Charts
    hiphil_conjugation_chart,    # horizontal bar
    hiphil_book_chart,           # bar + line dual-axis
    hiphil_stem_chart,           # stacked bar (Hiphil in red)
    hiphil_root_heatmap,         # root × conjugation heatmap
    hiphil_semantic_chart,       # pie chart
    hiphil_top_roots_chart,      # horizontal bar
    # Report
    hiphil_report,               # full Markdown + all charts
)

Slash commands:

• /hiphil overview — key statistics
• /hiphil conj [book] — conjugation profile
• /hiphil roots [n] — top roots
• /hiphil roottable — root × conjugation table
• /hiphil books — distribution across books
• /hiphil dominant — Hiphil-only roots
• /hiphil semantic — semantic function breakdown
• /hiphil report — full report + charts