From b2af8e8faf03da1eeb2b7661b419fd47ab20889c Mon Sep 17 00:00:00 2001
From: BLKSerene <blkserene@gmail.com>
Date: Wed, 2 Aug 2023 04:04:14 +0800
Subject: [PATCH] Work Area: Add Profiler - Readability - Degrees of Reading
 Power

---
 CHANGELOG.md                                  |   2 +-
 doc/doc_eng.md                                | 234 ++---
 doc/measures/readability/aari.svg             | 216 +++--
 doc/measures/readability/ari.svg              | 166 ++--
 .../readability/bormuths_cloze_mean_gp.svg    | 613 ++++++-------
 .../readability/coleman_liau_index.svg        | 352 ++++----
 .../colemans_readability_formula.svg          | 782 ++++++++--------
 doc/measures/readability/cp.svg               | 173 ++--
 .../danielson_bryans_readability_formula.svg  | 388 ++++----
 .../devereux_readability_index.svg            | 188 ++--
 doc/measures/readability/drp.svg              |  45 +
 doc/measures/readability/eflaw.svg            | 122 +--
 .../flesch_kincaid_grade_level.svg            |  93 --
 doc/measures/readability/fog_index.svg        | 166 ++--
 .../readability/formula_de_crawford.svg       | 198 ++--
 doc/measures/readability/gl.svg               |  93 ++
 doc/measures/readability/gulpease_index.svg   | 183 ++--
 doc/measures/readability/lensear_write.svg    | 104 +--
 doc/measures/readability/lix.svg              | 144 +--
 doc/measures/readability/mu.svg               | 128 +--
 doc/measures/readability/osman.svg            | 274 +++---
 doc/measures/readability/re.svg               | 845 +++++++++---------
 doc/measures/readability/re_simplified.svg    | 180 ++--
 doc/measures/readability/rgl.svg              |  86 +-
 doc/measures/readability/rix.svg              |  96 +-
 doc/measures/readability/smog_grade.svg       |  94 +-
 .../readability/spache_grade_level.svg        | 184 ++--
 doc/measures/readability/wstf.svg             | 558 ++++++------
 doc/measures/readability/x_c50.svg            | 224 ++---
 doc/measures/readability/x_c50_new.svg        | 202 ++---
 .../test_measures_readability.py              | 160 ++--
 tests/wl_tests_work_area/test_profiler.py     |   2 +-
 .../wl_measures/wl_measures_readability.py    |  59 +-
 wordless/wl_profiler.py                       |  24 +-
 34 files changed, 3714 insertions(+), 3664 deletions(-)
 create mode 100644 doc/measures/readability/drp.svg
 delete mode 100644 doc/measures/readability/flesch_kincaid_grade_level.svg
 create mode 100644 doc/measures/readability/gl.svg

diff --git a/CHANGELOG.md b/CHANGELOG.md
index d22883701..bbaa2f107 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -26,7 +26,7 @@
 - Utils: Add spaCy's Korean sentence recognizer, word tokenizer, part-of-speech tagger, lemmatizer, and dependency parser
 - Utils: Add spaCy's Malay word tokenizer
 - Utils: Add spaCy's Slovenian sentence recognizer, part-of-speech tagger, lemmatizer, and dependency parser
-- Work Area: Add Profiler - Readability - Bormuth's Cloze Mean / Bormuth's Grade Placement / Coleman's Readability Formula / Dale-Chall Readability Formula (New) / Danielson-Bryan's Readability Formula
+- Work Area: Add Profiler - Readability - Bormuth's Cloze Mean / Bormuth's Grade Placement / Coleman's Readability Formula / Dale-Chall Readability Formula (New) / Danielson-Bryan's Readability Formula / Degrees of Reading Power
 
 ### ✨ Improvements
 - Utils: Update Wordless's sentence and sentence segment splitters
diff --git a/doc/doc_eng.md b/doc/doc_eng.md
index 04a81db58..5ac3ccbcd 100644
--- a/doc/doc_eng.md
+++ b/doc/doc_eng.md
@@ -888,123 +888,126 @@ These variables are used in the following formulas:<br>
 <span id="ref-num-words-769"></span>**NumWordsDale₇₆₉**: Number of words outside the Dale list of 769 easy words ([Dale, 1931](#ref-dale-1931))<br>
 <span id="ref-num-words-3000"></span>**NumWordsDale₃₀₀₀**: Number of words outside the Dale list of 3000 easy words ([Dale & Chall, 1948b](#ref-dale-chall-1948b))<br>
 **NumWords1Syl**: Number of monosyllabic words<br>
-**NumWords3PlusSyls**: Number of words with 3 or more syllables<br>
+**NumWords3+Syls**: Number of words with 3 or more syllables<br>
 **NumSyls**: Number of syllable in the text or sample<br>
 **NumCharsAll**: Number of characters (including letters, CJK characters, etc., numerals, and punctuation marks) in the text or sample<br>
-**NumCharsAlphanumeric**: Number of alphanumeric characters (letters, CJK characters, etc., numerals) in the text or sample<br>
-**NumCharsAlphabetic**: Number of alphabetic characters (letters, CJK characters, etc.) in the text or sample
+**NumCharsAlpha**: Number of alphabetic characters (letters, CJK characters, etc.) in the text or sample<br>
+**NumCharsAlnum**: Number of alphanumeric characters (letters, CJK characters, etc., numerals) in the text or sample
 
 <!--
 Automated Arabic Readability Index:
-    {AARI = 3.28 \times NumCharsAlphanumeric + 1.43 \times \frac{NumCharsAlphanumeric}{NumWords} + 1.24 \times \frac{NumWords}{NumSentences}}
+    {\text{AARI} = 3.28 \times \text{NumCharsAlnum} + 1.43 \times \frac{\text{NumCharsAlnum}}{\text{NumWords}} + 1.24 \times \frac{\text{NumWords}}{\text{NumSentences}}}
 
 Automated Readability Index:
-    ARI = 0.5 \times \frac{NumWords}{NumSentences} + 4.71 \times \frac{NumCharsAll}{NumWords} - 21.43
+    \text{ARI} = 0.5 \times \frac{\text{NumWords}}{\text{NumSentences}} + 4.71 \times \frac{\text{NumCharsAll}}{\text{NumWords}} - 21.43
 
 Bormuth's Cloze Mean & Grade Placement:
     \begin{align*}
-        M = \; &0.886593 - 0.083640 \times \frac{NumChars}{NumWords} + 0.161911 \times \left(\frac{NumWordsDale_{3000}}{NumWords}\right)^3 - \\
-        &0.021401 \times \frac{NumWords}{NumSentences} + 0.000577 \times \left(\frac{NumWords}{NumSentences}\right)^2 - 0.000005 \times \left(\frac{NumWords}{NumSentences}\right)^3 \\
-        GP = \; &4.275 + 12.881 \times M - 34.934 \times M^2 + 20.388 \times M^3 + 26.194 \times C - 2.046 \times C^2 - 11.767 \times C^3 - \\
-        &44.285 \times \left(M \times C\right) + 97.620 \times \left(M \times C\right)^2 - 59.538 \times \left(M \times C\right)^3
+        \text{M} = \; &0.886593 - 0.083640 \times \frac{\text{NumCharsAlpha}}{\text{NumWords}} + 0.161911 \times \left(\frac{\text{NumWordsDale}_{3000}}{\text{NumWords}}\right)^3 - \\
+        &0.021401 \times \frac{\text{NumWords}}{\text{NumSentences}} + 0.000577 \times \left(\frac{\text{NumWords}}{\text{NumSentences}}\right)^2 - 0.000005 \times \left(\frac{\text{NumWords}}{\text{NumSentences}}\right)^3 \\
+        \text{GP} = \; &4.275 + 12.881 \times \text{M} - 34.934 \times \text{M}^2 + 20.388 \times \text{M}^3 + 26.194 \times \text{C} - 2.046 \times \text{C}^2 - 11.767 \times \text{C}^3 - \\
+        &44.285 \times \left(\text{M} \times \text{C}\right) + 97.620 \times \left(\text{M} \times \text{C}\right)^2 - 59.538 \times \left(\text{M} \times \text{C}\right)^3
     \end{align*}
 
 Coleman-Liau Index:
     \begin{align*}
-        Estimated \; Cloze \; % &= 141.8401 - 0.21459 \times \left(\frac{NumCharsAlphabetic}{NumWords} \times 100\right) + 1.079812 \times \left(\frac{NumSentences}{NumWords} \times 100\right) \\
-        Grade \; Level &= -27.4004 \times \frac{Estimated \; Cloze \; %}{100} + 23.06395
+        \text{Estimated Cloze \ %} &= 141.8401 - 0.21459 \times \left(\frac{\text{NumCharsAlpha}}{\text{NumWords}} \times 100\right) + 1.079812 \times \left(\frac{\text{NumSentences}}{\text{NumWords}} \times 100\right) \\
+        \text{Grade Level} &= -27.4004 \times \frac{\text{Estimated Cloze \; %}}{100} + 23.06395
     \end{align*}
 
 Coleman's Readability Formula:
     \begin{align*}
-        Cloze \; %_1 &= 1.29 \times \left(\frac{NumWords1Syl}{NumWords} \times 100\right) - 38.45 \\
-        Cloze \; %_2 &= 1.16 \times \left(\frac{NumWords1Syl}{NumWords} \times 100\right) + 1.48 \times \left(\frac{NumSentences}{NumWords} \times 100\right) - 37.95 \\
-        Cloze \; %_3 &= 1.07 \times \left(\frac{NumWords1Syl}{NumWords} \times 100\right) + 1.18 \times \left(\frac{NumSentences}{NumWords} \times 100\right) + 0.76 \times \left(\frac{NumProns}{NumWords} \times 100\right) - 34.02 \\
-        Cloze \; %_4 &= 1.04 \times \left(\frac{NumWords1Syl}{NumWords} \times 100\right) + 1.06 \times \left(\frac{NumSentences}{NumWords} \times 100\right) + 0.56 \times \left(\frac{NumProns}{NumWords} \times 100\right) - 0.36 \times \left(\frac{NumPreps}{NumWords} \times 100\right) - 26.01
+        \text{Cloze \; %}_1 &= 1.29 \times \left(\frac{\text{NumWords1Syl}}{\text{NumWords}} \times 100\right) - 38.45 \\
+        \text{Cloze \; %}_2 &= 1.16 \times \left(\frac{\text{NumWords1Syl}}{\text{NumWords}} \times 100\right) + 1.48 \times \left(\frac{\text{NumSentences}}{\text{NumWords}} \times 100\right) - 37.95 \\
+        \text{Cloze \; %}_3 &= 1.07 \times \left(\frac{\text{NumWords1Syl}}{\text{NumWords}} \times 100\right) + 1.18 \times \left(\frac{\text{NumSentences}}{\text{NumWords}} \times 100\right) + 0.76 \times \left(\frac{\text{NumProns}}{\text{NumWords}} \times 100\right) - 34.02 \\
+        \text{Cloze \; %}_4 &= 1.04 \times \left(\frac{\text{NumWords1Syl}}{\text{NumWords}} \times 100\right) + 1.06 \times \left(\frac{\text{NumSentences}}{\text{NumWords}} \times 100\right) + 0.56 \times \left(\frac{\text{NumProns}}{\text{NumWords}} \times 100\right) - 0.36 \times \left(\frac{\text{NumPreps}}{\text{NumWords}} \times 100\right) - 26.01
     \end{align*}
 
 Dale-Chall Readability Formula:
-    {X_{c50} = 0.1579 \times \left(\frac{NumWordsDale_{3000}}{NumWords} \times 100\right) + 0.0496 \times \frac{NumWords}{NumSentences} + 3.6365}
+    {\text{X}_{\text{c}50} = 0.1579 \times \left(\frac{\text{NumWordsDale}_{3000}}{\text{NumWords}} \times 100\right) + 0.0496 \times \frac{\text{NumWords}}{\text{NumSentences}} + 3.6365}
 
 Dale-Chall Readability Formula (New):
-    X_{c50} = 64 - 0.95 \times \left(\frac{NumWordsDale_{3000}}{NumWords} \times 100\right) - 0.69 \times \frac{NumWords}{NumSentences}
+    \text{X}_{\text{c}50} = 64 - 0.95 \times \left(\frac{\text{NumWordsDale}_{3000}}{\text{NumWords}} \times 100\right) - 0.69 \times \frac{\text{NumWords}}{\text{NumSentences}}
 
 Danielson-Bryan's Readability Formula:
     \begin{align*}
-        Danielson\text{-}Bryan_1 &= 1.0364 \times \frac{NumCharsAll}{NumWords - 1} + 0.0194 \times \frac{NumCharsAll}{NumSentences} - 0.6059 \\
-        Danielson\text{-}Bryan_2 &= 131.059 - 10.364 \times \frac{NumCharsAll}{NumWords - 1} - 0.194 \times \frac{NumCharsAll}{NumSentences}
+        \text{Danielson-Bryan}_1 &= 1.0364 \times \frac{\text{NumCharsAll}}{\text{NumWords} - 1} + 0.0194 \times \frac{\text{NumCharsAll}}{\text{NumSentences}} - 0.6059 \\
+        \text{Danielson-Bryan}_2 &= 131.059 - 10.364 \times \frac{\text{NumCharsAll}}{\text{NumWords} - 1} - 0.194 \times \frac{\text{NumCharsAll}}{\text{NumSentences}}
     \end{align*}
 
+Degrees of Reading Power:
+    \text{DRP} = 100 - (\lfloor \text{M} \times 100 + 0.5 \rfloor)
+
 Devereux Readability Index:
-    Grade \; Placement = 1.56 \times \frac{NumCharsAll}{NumWords} + 0.19 \times \frac{NumWords}{NumSentences} - 6.49
+    \text{Grade Placement} = 1.56 \times \frac{\text{NumCharsAll}}{\text{NumWords}} + 0.19 \times \frac{\text{NumWords}}{\text{NumSentences}} - 6.49
 
 Flesch-Kincaid Grade Level:
-    GL = 0.39 \times \frac{NumWords}{NumSentences} + 11.8 \times \frac{NumSyls}{NumWords} - 15.59
+    \text{GL} = 0.39 \times \frac{\text{NumWords}}{\text{NumSentences}} + 11.8 \times \frac{\text{NumSyls}}{\text{NumWords}} - 15.59
 
 Flesch Reading Ease:
     \begin{align*}
-        ASW &= \frac{NumSyls}{NumWords} \qquad ASL = \frac{NumWords}{NumSentences} \\
-        RE &= 206.835 - 0.846 \times \left(ASW \times 100\right) - 1.015 \times ASL \\
-        RE_{Dutch-Douma} &= 206.84 - 77 \times ASW - 0.93 \times ASL \\
-        RE_{Dutch-Brouwer} &= 195 - \frac{200}{3} \times ASW - 2 \times ASL \\
-        RE_{French} &= 207 - 73.6 \times ASW - 1.015 \times ASL \\
-        RE_{German} &= 180 - 58.5 \times ASW - ASL \\
-        RE_{Italian} &= 217 - 60 \times ASW - 1.3 \times ASL \\
-        RE_{Russian} &= 206.835 - 60.1 \times ASW - 1.3 \times ASL \\
-        RE_{Spanish-Fernández \; Huerta} &= 206.84 - 60 \times ASW - 1.02 \times ASL \\
-        RE_{Spanish-Szigriszt \; Pazos} &= 207 - 62.3 \times ASW - ASL
+        \text{ASW} &= \frac{\text{NumSyls}}{\text{NumWords}} \qquad \text{ASL} = \frac{\text{NumWords}}{\text{NumSentences}} \\
+        \text{RE} &= 206.835 - 0.846 \times (\text{ASW} \times 100) - 1.015 \times \text{ASL} \\
+        \text{RE}_\text{Dutch-Douma} &= 206.84 - 77 \times \text{ASW} - 0.93 \times \text{ASL} \\
+        \text{RE}_\text{Dutch-Brouwer} &= 195 - \frac{200}{3} \times \text{ASW} - 2 \times \text{ASL} \\
+        \text{RE}_\text{French} &= 207 - 73.6 \times \text{ASW} - 1.015 \times \text{ASL} \\
+        \text{RE}_\text{German} &= 180 - 58.5 \times \text{ASW} - \text{ASL} \\
+        \text{RE}_\text{Italian} &= 217 - 60 \times \text{ASW} - 1.3 \times \text{ASL} \\
+        \text{RE}_\text{Russian} &= 206.835 - 60.1 \times \text{ASW} - 1.3 \times \text{ASL} \\
+        \text{RE}_{\text{Spanish-Fern}\acute{\text{a}}\text{ndez Huerta}} &= 206.84 - 60 \times \text{ASW} - 1.02 \times \text{ASL} \\
+        \text{RE}_\text{Spanish-Szigriszt Pazos} &= 207 - 62.3 \times \text{ASW} - \text{ASL}
     \end{align*}
 
 Flesch Reading Ease (Simplified):
-    {RE = 1.599 \times \left(\frac{NumWords1Syl}{NumWords} \times 100\right) - 1.015 \times \frac{NumWords}{NumSentences} - 31.517}
+    \text{RE} = 1.599 \times \left(\frac{\text{NumWords1Syl}}{\text{NumWords}} \times 100\right) - 1.015 \times \frac{\text{NumWords}}{\text{NumSentences}} - 31.517
 
 FORCAST Grade Level:
-    RGL = 20.43 - 0.11 \times NumWords1Syl
+    \text{RGL} = 20.43 - 0.11 \times \text{NumWords1Syl}
 
 Fórmula de comprensibilidad de Gutiérrez de Polini:
-    CP = 95.2 - 9.7 \times \frac{NumCharsAlphabetic}{NumWords} - 0.35 \times \frac{NumWords}{NumSentences}
+    \text{CP} = 95.2 - 9.7 \times \frac{\text{NumCharsAlpha}}{\text{NumWords}} - 0.35 \times \frac{\text{NumWords}}{\text{NumSentences}}
 
 Fórmula de Crawford:
-    {Grade \; Level = \frac{NumSentences}{NumWords} \times 100 \times (-0.205) + \frac{NumSyls}{NumWords} \times 100 \times 0.049 - 3.407}
+    {\text{Grade Level} = \frac{\text{NumSentences}}{\text{NumWords}} \times 100 \times (-0.205) + \frac{\text{NumSyls}}{\text{NumWords}} \times 100 \times 0.049 - 3.407}
 
 Gulpease Index:
-    Gulpease \; Index = 89 + \frac{300 \times NumSentences - 10 \times NumCharsAlphabetic}{NumWords}
+    \text{Gulpease Index} = 89 + \frac{300 \times \text{NumSentences} - 10 \times \text{NumCharsAlpha}}{\text{NumWords}}
 
 Gunning Fog Index:
-    Fog \; Index = 0.4 \times \left(\frac{NumWords}{NumSentences} + \frac{NumHardWords}{NumWords} \times 100\right)
+    \text{Fog Index} = 0.4 \times \left(\frac{\text{NumWords}}{\text{NumSentences}} + \frac{\text{NumHardWords}}{\text{NumWords}} \times 100\right)
 
 Legibilidad µ:
-    \mu = \frac{NumWords}{NumWords - 1} \times \frac{LenWordsAvg}{LenWordsVar} \times 100
+    \mu = \frac{\text{NumWords}}{\text{NumWords} - 1} \times \frac{\text{LenWordsAvg}}{\text{LenWordsVar}} \times 100
 
 Lensear Write:
-    Score = NumWords1Syl + 3 \times NumSentences
+    \text{Score} = \text{NumWords1Syl} + 3 \times \text{NumSentences}
 
 Lix:
-    Lix = \frac{NumWords}{NumSentences} + 100 \times \frac{NumLongWords}{NumWords}
+    \text{Lix} = \frac{\text{NumWords}}{\text{NumSentences}} + 100 \times \frac{\text{NumLongWords}}{\text{NumWords}}
 
 McAlpine EFLAW Readability Score:
-    EFLAW = \frac{NumWords + NumMiniWords}{NumSentences}
+    \text{EFLAW} = \frac{\text{NumWords} + \text{NumMiniWords}}{\text{NumSentences}}
 
 OSMAN:
-    OSMAN = 200.791 - 1.015 \times \frac{NumWords}{NumSentences} - 24.181 \times \frac{NumLongWords + NumSyls + NumComplexWords + NumFaseehWords}{NumWords}
+    \text{OSMAN} = 200.791 - 1.015 \times \frac{\text{NumWords}}{\text{NumSentences}} - 24.181 \times \frac{\text{NumLongWords} + \text{NumSyls} + \text{NumComplexWords} + \text{NumFaseehWords}}{\text{NumWords}}
 
 Rix:
-    Rix = \frac{NumLongWords}{NumSentences}
+    \text{Rix} = \frac{\text{NumLongWords}}{\text{NumSentences}}
 
 SMOG Grade:
-    g = 3.1291 + 1.043 \times \sqrt{NumWords3PlusSyls}
+    \text{g} = 3.1291 + 1.043 \times \sqrt{\text{NumWords3+Syls}}
 
 Spache Grade Level:
-    {Grade \; Level = 0.141 \times \frac{100}{NumSentences} + 0.086 \times \left(\frac{NumWordsDale_{769}}{100} \times 100\right) + 0.839}
+    {\text{Grade Level} = 0.141 \times \frac{100}{\text{NumSentences}} + 0.086 \times \left(\frac{\text{NumWordsDale}_{769}}{100} \times 100\right) + 0.839}
 
 Wiener Sachtextformel:
     \begin{align*}
-        MS &= \frac{NumWords3PlusSyls}{NumWords} \qquad SL = \frac{NumWords}{NumSentences} \\
-        IW &= \frac{NumLongWords}{NumWords} \qquad \qquad \; ES = \frac{NumWords1Syl}{NumWords} \\
-        WSTF_1 &= 0.1925 \times MS + 0.1672 \times SL + 0.1297 \times IW - 0.0327 \times ES - 0.875 \\
-        WSTF_2 &= 0.2007 \times MS + 0.1682 \times SL + 0.1373 \times IW - 2.779 \\
-        WSTF_3 &= 0.2963 \times MS + 0.1905 \times SL - 1.1144 \\
-        WSTF_4 &= 0.2744 \times MS + 0.2656 \times SL - 1.693
+        \text{MS} &= \frac{\text{NumWords3+Syls}}{\text{NumWords}} \qquad \text{SL} = \frac{\text{NumWords}}{\text{NumSentences}} \\
+        \text{IW} &= \frac{\text{NumLongWords}}{\text{NumWords}} \qquad \; \; \; \text{ES} = \frac{\text{NumWords1Syl}}{\text{NumWords}} \\
+        \text{WSTF}_1 &= 0.1925 \times \text{MS} + 0.1672 \times \text{SL} + 0.1297 \times \text{IW} - 0.0327 \times \text{ES} - 0.875 \\
+        \text{WSTF}_2 &= 0.2007 \times \text{MS} + 0.1682 \times \text{SL} + 0.1373 \times \text{IW} - 2.779 \\
+        \text{WSTF}_3 &= 0.2963 \times \text{MS} + 0.1905 \times \text{SL} - 1.1144 \\
+        \text{WSTF}_4 &= 0.2744 \times \text{MS} + 0.2656 \times \text{SL} - 1.693
     \end{align*}
 -->
 
@@ -1018,16 +1021,17 @@ Measure of Readability|Formula
 <span id="ref-dale-chall-readability-formula"></span>Dale-Chall Readability Formula<br>([Dale & Chall, 1948a](#ref-dale-chall-1948a); [Dale & Chall, 1948b](#ref-dale-chall-1948b))|![Formula](/doc/measures/readability/x_c50.svg)<br><br>* This measure applies only to **English texts**.
 <span id="ref-dale-chall-readability-formula-new"></span>Dale-Chall Readability Formula (New)<br>([Chall & Dale, 1995](#ref-chall-dale-1995))|![Formula](/doc/measures/readability/x_c50_new.svg)<br><br>* This measure applies only to **English texts**.
 <span id="ref-danielson-bryans-readability-formula"></span>Danielson-Bryan's Readability Formula<br>([Danielson & Bryan, 1963](#ref-danielson-bryan-1963))|![Formula](/doc/measures/readability/danielson_bryans_readability_formula.svg)<br><br>* This measure has 2 variants, which you could select via **Menu → Preferences → Settings → Measures → Readability → Danielson-Bryan's Readability Formula → Variant**.
+<span id="ref-drp"></span>Degrees of Reading Power<br>([College Entrance Examination Board, 1981](#ref-college-entrance-examination-board-1981))|![Formula](/doc/measures/readability/drp.svg)<br>where **M** is *Bormuth's cloze mean*.<br><br>* This measure applies only to **English texts**.
 <span id="ref-devereux-readability-index"></span>Devereux Readability Index<br>([Smith, 1961](#ref-smith-1961))|![Formula](/doc/measures/readability/devereux_readability_index.svg)
-<span id="ref-flesch-kincaid-grade-level"></span>Flesch-Kincaid Grade Level¹<br>([Kincaid et al., 1975](#ref-kincaid-et-al-1975))|![Formula](/doc/measures/readability/flesch_kincaid_grade_level.svg)
+<span id="ref-gl"></span>Flesch-Kincaid Grade Level¹<br>([Kincaid et al., 1975](#ref-kincaid-et-al-1975))|![Formula](/doc/measures/readability/gl.svg)
 <span id="ref-re"></span>Flesch Reading Ease¹<br>([Flesch, 1948](#ref-flesch-1948)<br>Dutch: [Douma, 1960](#ref-douma-1960); [Brouwer, 1963](#ref-brouwer-1963)<br>French: [Kandel & Moles, 1958](#ref-kandel-moles-1958)<br>German: [Amstad, 1978](#ref-amstad-1978)<br>Italian: [Franchina & Vacca, 1986](#ref-franchina-vacca-1986)<br>Russian: [Oborneva, 2006](#ref-oborneva-2006)<br>Spanish: [Fernández Huerta, 1959](#ref-fernandez-huerta-1959); [Szigriszt Pazos, 1993](#ref-szigrisze-pazos-1993))|![Formula](/doc/measures/readability/re.svg)<br><br>* This measure has multiple variants for some languages, which you could select via **Menu → Preferences → Settings → Measures → Readability → Flesch Reading Ease**.
 <span id="ref-re-simplified"></span>Flesch Reading Ease (Simplified)¹<br>([Farr et al., 1951](#ref-farr-et-al-1951))|![Formula](/doc/measures/readability/re_simplified.svg)
 <span id="ref-rgl"></span>FORCAST Grade Level¹<br>([Caylor et al., 1973](#ref-caylor-et-al-1973))|![Formula](/doc/measures/readability/rgl.svg)<br><br>* A sample of 150 words is taken randomly from the text, thus the text should be **at least 150 words long**.
-<span id="ref-formula-de-comprensibilidad-de-gutierrez-de-polini"></span>Fórmula de comprensibilidad de Gutiérrez de Polini<br>([Gutiérrez de Polini, 1972](#ref-gutierrez-de-polini-1972))|![Formula](/doc/measures/readability/cp.svg)<br><br>* This measure applies only to **Spanish texts**.
+<span id="ref-cp"></span>Fórmula de comprensibilidad de Gutiérrez de Polini<br>([Gutiérrez de Polini, 1972](#ref-gutierrez-de-polini-1972))|![Formula](/doc/measures/readability/cp.svg)<br><br>* This measure applies only to **Spanish texts**.
 <span id="ref-formula-de-crawford"></span>Fórmula de Crawford¹<br>([Crawford, 1985](#ref-crawford-1985))|![Formula](/doc/measures/readability/formula_de_crawford.svg)<br><br>* This measure applies only to **Spanish texts**.
 <span id="ref-gulpease-index"></span>Gulpease Index<br>([Lucisano & Emanuela Piemontese, 1988](#ref-lucisano-emanuela-piemontese-1988))|![Formula](/doc/measures/readability/gulpease_index.svg)<br><br>* This measure applies only to **Italian texts**.
 <span id="ref-fog-index"></span>Gunning Fog Index¹<br>(English: [Gunning, 1968](#ref-gunning-1968)<br>Polish: [Pisarek, 1969](#ref-pisarek-1969))|![Formula](/doc/measures/readability/fog_index.svg)<br>where **NumHardWords** is the number of words with 3 or more syllables excluding all proper nouns and words with 3 syllables ending with *-ed* or *-es* for **English texts**, and the number of words with 4 or more syllables for **Polish texts**.<br><br>* This measure applies only to **English texts** and **Polish texts**.
-<span id="ref-legibilidad-mu"></span>Legibilidad µ<br>([Muñoz Baquedano, 2006](#ref-munoz-baquedano-2006))|![Formula](/doc/measures/readability/mu.svg)<br>where **LenWordsAvg** is the average word length in letters, and **LenWordsVar** is the variance of word lengths in letters.<br><br>* This measure applies only to **Spanish texts**.<br>* The text should be **at least 2 words long**.
+<span id="ref-mu"></span>Legibilidad µ<br>([Muñoz Baquedano, 2006](#ref-munoz-baquedano-2006))|![Formula](/doc/measures/readability/mu.svg)<br>where **LenWordsAvg** is the average word length in letters, and **LenWordsVar** is the variance of word lengths in letters.<br><br>* This measure applies only to **Spanish texts**.<br>* The text should be **at least 2 words long**.
 <span id="ref-lensear-write"></span>Lensear Write¹<br>([O’Hayre, 1966](#ref-o-hayre-1966))|![Formula](/doc/measures/readability/lensear_write.svg)<br>where **NumWords1Syl** is the number of monosyllabic words excluding *the*, *is*, *are*, *was*, *were*, and **NumSentences** is the number of sentences to the nearest period.<br><br>* This measure applies only to **English texts**.<br>* A sample of 100 words is taken randomly from the text.<br>* If the text is **shorter than 100 words**, **NumWords1Syl** and **NumSentences** need to be multiplied by 100 and then divided by the number of text.
 <span id="ref-lix"></span>Lix<br>([Björnsson, 1968](#ref-bjornsson-1968))|![Formula](/doc/measures/readability/lix.svg)<br>where **NumLongWords** is the number of words with 7 or more letters.
 <span id="ref-eflaw"></span>McAlpine EFLAW Readability Score<br>([Nirmaldasan, 2009](#ref-nirmaldasan-2009))|![Formula](/doc/measures/readability/eflaw.svg)<br><br>* This measure applies only to **English texts**.
@@ -1394,123 +1398,125 @@ Cubic Association Ratio<br>([Daille, 1994](#ref-daille-1994), [1995](#ref-daille
 [14] [**^**](#ref-pmi) Church, K. W., & Hanks, P. (1990). Word association norms, mutual information, and lexicography. *Computational Linguistics*, *16*(1), 22–29.<br>
 <span id="ref-coleman-liau-1975"></span>
 [15] [**^**](#ref-coleman-liau-index) Coleman, M., & Liau, T. L. (1975). A computer readability formula designed for machine scoring. *Journal of Applied Psychology*, *60*(2), 283–284. https://doi.org/10.1037/h0076540<br>
+<span id="ref-college-entrance-examination-board-1981"></span>
+[16] [**^**](#ref-drp) College Entrance Examination Board. (1981). *Degrees of reading power brings the students and the text together*.<br>
 <span id="ref-crawford-1985"></span>
-[16] [**^**](#ref-formula-de-crawford) Crawford, A. N. (1985). Fórmula y gráfico para determinar la comprensibilidad de textos de nivel primario en castellano. *Lectura y Vida*, *6*(4). http://www.lecturayvida.fahce.unlp.edu.ar/numeros/a6n4/06_04_Crawford.pdf<br>
+[17] [**^**](#ref-formula-de-crawford) Crawford, A. N. (1985). Fórmula y gráfico para determinar la comprensibilidad de textos de nivel primario en castellano. *Lectura y Vida*, *6*(4). http://www.lecturayvida.fahce.unlp.edu.ar/numeros/a6n4/06_04_Crawford.pdf<br>
 <span id="ref-daille-1994"></span>
-[17] [**^**](#ref-im3) Daille, B. (1994). *Approche mixte pour l'extraction automatique de terminologie: statistiques lexicales et filtres linguistiques* [Doctoral thesis, Paris Diderot University]. Béatrice Daille. http://www.bdaille.com/index.php?option=com_docman&task=doc_download&gid=8&Itemid=<br>
+[18] [**^**](#ref-im3) Daille, B. (1994). *Approche mixte pour l'extraction automatique de terminologie: statistiques lexicales et filtres linguistiques* [Doctoral thesis, Paris Diderot University]. Béatrice Daille. http://www.bdaille.com/index.php?option=com_docman&task=doc_download&gid=8&Itemid=<br>
 <span id="ref-daille-1995"></span>
-[18] [**^**](#ref-im3) Daille, B. (1995). Combined approach for terminology extraction: Lexical statistics and linguistic filtering. *UCREL technical papers* (Vol. 5). Lancaster University.<br>
+[19] [**^**](#ref-im3) Daille, B. (1995). Combined approach for terminology extraction: Lexical statistics and linguistic filtering. *UCREL technical papers* (Vol. 5). Lancaster University.<br>
 <span id="ref-dale-1931"></span>
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 <span id="ref-dale-chall-1948a"></span>
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 <span id="ref-dale-chall-1948b"></span>
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 <span id="ref-gutierrez-de-polini-1972"></span>
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 <span id="ref-juilland-chang-rodrigues-1964"></span>
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 <span id="ref-kincaid-et-al-1975"></span>
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diff --git a/doc/measures/readability/colemans_readability_formula.svg b/doc/measures/readability/colemans_readability_formula.svg
index 6aadfaade..95fbd670c 100644
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index 1919d6acc..b7f94ff47 100644
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index 99777191d..fdf5c3927 100644
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index 36c7b98aa..351014aa5 100644
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diff --git a/doc/measures/readability/rix.svg b/doc/measures/readability/rix.svg
index d60683386..cd579fef9 100644
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diff --git a/tests/wl_tests_measures/test_measures_readability.py b/tests/wl_tests_measures/test_measures_readability.py
index 46c8d5b69..20c918584 100644
--- a/tests/wl_tests_measures/test_measures_readability.py
+++ b/tests/wl_tests_measures/test_measures_readability.py
@@ -16,6 +16,8 @@
 # along with this program.  If not, see <http://www.gnu.org/licenses/>.
 # ----------------------------------------------------------------------
 
+import math
+
 import numpy
 
 from tests import wl_test_init
@@ -67,10 +69,10 @@ def __init__(self, tokens_multilevel, lang = 'eng_us'):
 test_text_rus_12 = Wl_Test_Text(TOKENS_MULTILEVEL_12, lang = 'rus')
 test_text_other_12 = Wl_Test_Text(TOKENS_MULTILEVEL_12, lang = 'other')
 
-def test_automated_ara_readability_index():
-    aari_ara_0 = wl_measures_readability.automated_ara_readability_index(main, test_text_ara_0)
-    aari_ara_12 = wl_measures_readability.automated_ara_readability_index(main, test_text_ara_12)
-    aari_eng_12 = wl_measures_readability.automated_ara_readability_index(main, test_text_eng_12)
+def test_aari():
+    aari_ara_0 = wl_measures_readability.aari(main, test_text_ara_0)
+    aari_ara_12 = wl_measures_readability.aari(main, test_text_ara_12)
+    aari_eng_12 = wl_measures_readability.aari(main, test_text_eng_12)
 
     print('Automated Arabic Readability Index:')
     print(f'\tara/0: {aari_ara_0}')
@@ -81,10 +83,10 @@ def test_automated_ara_readability_index():
     assert aari_ara_12 == 3.28 * 46 + 1.43 * (46 / 12) + 1.24 * (12 / 3)
     assert aari_eng_12 == 'no_support'
 
-def test_automated_readability_index():
-    ari_eng_0 = wl_measures_readability.automated_readability_index(main, test_text_eng_0)
-    ari_eng_12 = wl_measures_readability.automated_readability_index(main, test_text_eng_12)
-    ari_spa_12 = wl_measures_readability.automated_readability_index(main, test_text_spa_12)
+def test_ari():
+    ari_eng_0 = wl_measures_readability.ari(main, test_text_eng_0)
+    ari_eng_12 = wl_measures_readability.ari(main, test_text_eng_12)
+    ari_spa_12 = wl_measures_readability.ari(main, test_text_spa_12)
 
     print('Automated Readability Index:')
     print(f'\teng/0: {ari_eng_0}')
@@ -224,6 +226,21 @@ def test_danielson_bryans_readability_formula():
     assert danielson_bryan_eng_12_1 == 1.0364 * (47 / (12 - 1)) + 0.0194 * (47 / 3) - 0.6059
     assert danielson_bryan_eng_12_2 == danielson_bryan_other_12 == 131.059 - 10.364 * (47 / (12 - 1)) - 0.194 * (47 / 3)
 
+def test_drp():
+    drp_eng_0 = wl_measures_readability.drp(main, test_text_eng_0)
+    drp_eng_12 = wl_measures_readability.drp(main, test_text_eng_12)
+    drp_other_12 = wl_measures_readability.drp(main, test_text_other_12)
+
+    print('Degrees of Reading Power:')
+    print(f'\teng/0: {drp_eng_0}')
+    print(f'\teng/12: {drp_eng_12}')
+    print(f'\tother/12: {drp_other_12}')
+
+    assert drp_eng_0 == 'text_too_short'
+    m = wl_measures_readability.bormuths_cloze_mean(main, test_text_eng_12)
+    assert drp_eng_12 == 100 - math.floor(m * 100 + 0.5)
+    assert drp_other_12 == 'no_support'
+
 def test_devereux_readability_index():
     grade_placement_eng_0 = wl_measures_readability.devereux_readability_index(main, test_text_eng_0)
     grade_placement_eng_12 = wl_measures_readability.devereux_readability_index(main, test_text_eng_12)
@@ -237,11 +254,11 @@ def test_devereux_readability_index():
     assert grade_placement_eng_0 == 'text_too_short'
     assert grade_placement_eng_12 == grade_placement_spa_12 == 1.56 * (47 / 12) + 0.19 * (12 / 3) - 6.49
 
-def test_flesch_kincaid_grade_level():
-    gl_eng_0 = wl_measures_readability.flesch_kincaid_grade_level(main, test_text_eng_0)
-    gl_eng_12 = wl_measures_readability.flesch_kincaid_grade_level(main, test_text_eng_12)
-    gl_spa_12 = wl_measures_readability.flesch_kincaid_grade_level(main, test_text_spa_12)
-    gl_other_12 = wl_measures_readability.flesch_kincaid_grade_level(main, test_text_other_12)
+def test_gl():
+    gl_eng_0 = wl_measures_readability.gl(main, test_text_eng_0)
+    gl_eng_12 = wl_measures_readability.gl(main, test_text_eng_12)
+    gl_spa_12 = wl_measures_readability.gl(main, test_text_spa_12)
+    gl_other_12 = wl_measures_readability.gl(main, test_text_other_12)
 
     print('Flesch-Kincaid Grade Level:')
     print(f'\teng/0: {gl_eng_0}')
@@ -254,27 +271,27 @@ def test_flesch_kincaid_grade_level():
     assert gl_spa_12 != 'no_support'
     assert gl_other_12 == 'no_support'
 
-def test_flesch_reading_ease():
-    flesch_re_eng_0 = wl_measures_readability.flesch_reading_ease(main, test_text_eng_0)
-    flesch_re_eng_12 = wl_measures_readability.flesch_reading_ease(main, test_text_eng_12)
+def test_re_flesch():
+    flesch_re_eng_0 = wl_measures_readability.re_flesch(main, test_text_eng_0)
+    flesch_re_eng_12 = wl_measures_readability.re_flesch(main, test_text_eng_12)
 
     settings['re']['variant_nld'] = 'Douma'
-    flesch_re_nld_12_douma = wl_measures_readability.flesch_reading_ease(main, test_text_nld_12)
+    flesch_re_nld_12_douma = wl_measures_readability.re_flesch(main, test_text_nld_12)
     settings['re']['variant_nld'] = "Brouwer's Leesindex A"
-    flesch_re_nld_12_brouwer = wl_measures_readability.flesch_reading_ease(main, test_text_nld_12)
+    flesch_re_nld_12_brouwer = wl_measures_readability.re_flesch(main, test_text_nld_12)
 
-    flesch_re_fra_12 = wl_measures_readability.flesch_reading_ease(main, test_text_fra_12)
-    flesch_re_deu_12 = wl_measures_readability.flesch_reading_ease(main, test_text_deu_12)
-    flesch_re_ita_12 = wl_measures_readability.flesch_reading_ease(main, test_text_ita_12)
-    flesch_re_rus_12 = wl_measures_readability.flesch_reading_ease(main, test_text_rus_12)
+    flesch_re_fra_12 = wl_measures_readability.re_flesch(main, test_text_fra_12)
+    flesch_re_deu_12 = wl_measures_readability.re_flesch(main, test_text_deu_12)
+    flesch_re_ita_12 = wl_measures_readability.re_flesch(main, test_text_ita_12)
+    flesch_re_rus_12 = wl_measures_readability.re_flesch(main, test_text_rus_12)
 
     settings['re']['variant_spa'] = 'Fernández Huerta'
-    flesch_re_spa_12_fh = wl_measures_readability.flesch_reading_ease(main, test_text_spa_12)
+    flesch_re_spa_12_fh = wl_measures_readability.re_flesch(main, test_text_spa_12)
     settings['re']['variant_spa'] = 'Szigriszt Pazos'
-    flesch_re_spa_12_sp = wl_measures_readability.flesch_reading_ease(main, test_text_spa_12)
+    flesch_re_spa_12_sp = wl_measures_readability.re_flesch(main, test_text_spa_12)
 
-    flesch_re_afr_12 = wl_measures_readability.flesch_reading_ease(main, test_text_afr_12)
-    flesch_re_other_12 = wl_measures_readability.flesch_reading_ease(main, test_text_other_12)
+    flesch_re_afr_12 = wl_measures_readability.re_flesch(main, test_text_afr_12)
+    flesch_re_other_12 = wl_measures_readability.re_flesch(main, test_text_other_12)
 
     print('Flesch Reading Ease:')
     print(f'\teng/0: {flesch_re_eng_0}')
@@ -303,11 +320,11 @@ def test_flesch_reading_ease():
     assert flesch_re_afr_12 == 206.835 - 0.846 * (18 / 12 * 100) - 1.015 * (12 / 3)
     assert flesch_re_other_12 == 'no_support'
 
-def test_flesch_reading_ease_simplified():
-    flesch_re_simplified_eng_0 = wl_measures_readability.flesch_reading_ease_simplified(main, test_text_eng_0)
-    flesch_re_simplified_eng_12 = wl_measures_readability.flesch_reading_ease_simplified(main, test_text_eng_12)
-    flesch_re_simplified_spa_12 = wl_measures_readability.flesch_reading_ease_simplified(main, test_text_spa_12)
-    flesch_re_simplified_other_12 = wl_measures_readability.flesch_reading_ease_simplified(main, test_text_other_12)
+def test_re_simplified():
+    flesch_re_simplified_eng_0 = wl_measures_readability.re_simplified(main, test_text_eng_0)
+    flesch_re_simplified_eng_12 = wl_measures_readability.re_simplified(main, test_text_eng_12)
+    flesch_re_simplified_spa_12 = wl_measures_readability.re_simplified(main, test_text_spa_12)
+    flesch_re_simplified_other_12 = wl_measures_readability.re_simplified(main, test_text_other_12)
 
     print('Flesch Reading Ease (Simplified):')
     print(f'\teng/0: {flesch_re_simplified_eng_0}')
@@ -319,11 +336,11 @@ def test_flesch_reading_ease_simplified():
     assert flesch_re_simplified_eng_12 == flesch_re_simplified_spa_12 == 1.599 * (9 / 12 * 100) - 1.015 * (12 / 3) - 31.517
     assert flesch_re_simplified_other_12 == 'no_support'
 
-def test_forcast_grade_level():
-    rgl_eng_12 = wl_measures_readability.forcast_grade_level(main, test_text_eng_12)
-    rgl_eng_150 = wl_measures_readability.forcast_grade_level(main, test_text_eng_150)
-    rgl_spa_150 = wl_measures_readability.forcast_grade_level(main, test_text_spa_150)
-    rgl_other_12 = wl_measures_readability.forcast_grade_level(main, test_text_other_12)
+def test_rgl():
+    rgl_eng_12 = wl_measures_readability.rgl(main, test_text_eng_12)
+    rgl_eng_150 = wl_measures_readability.rgl(main, test_text_eng_150)
+    rgl_spa_150 = wl_measures_readability.rgl(main, test_text_spa_150)
+    rgl_other_12 = wl_measures_readability.rgl(main, test_text_other_12)
 
     print('FORCAST Grade Level:')
     print(f'\teng/12: {rgl_eng_12}')
@@ -335,10 +352,10 @@ def test_forcast_grade_level():
     assert rgl_eng_150 == rgl_spa_150 == 20.43 - 0.11 * (6 * 18 + 4)
     assert rgl_other_12 == 'no_support'
 
-def test_formula_de_comprensibilidad_de_gutierrez_de_polini():
-    cp_spa_0 = wl_measures_readability.formula_de_comprensibilidad_de_gutierrez_de_polini(main, test_text_spa_0)
-    cp_spa_12 = wl_measures_readability.formula_de_comprensibilidad_de_gutierrez_de_polini(main, test_text_spa_12)
-    cp_eng_12 = wl_measures_readability.formula_de_comprensibilidad_de_gutierrez_de_polini(main, test_text_eng_12)
+def test_cp():
+    cp_spa_0 = wl_measures_readability.cp(main, test_text_spa_0)
+    cp_spa_12 = wl_measures_readability.cp(main, test_text_spa_12)
+    cp_eng_12 = wl_measures_readability.cp(main, test_text_eng_12)
 
     print('Fórmula de Comprensibilidad de Gutiérrez de Polini:')
     print(f'\tspa/0: {cp_spa_0}')
@@ -377,11 +394,11 @@ def test_gulpease_index():
     assert gulpease_index_ita_12 == 89 + (300 * 3 - 10 * 45) / 12
     assert gulpease_index_eng_12 == 'no_support'
 
-def test_gunning_fog_index():
-    fog_index_eng_0 = wl_measures_readability.gunning_fog_index(main, test_text_eng_0)
-    fog_index_eng_12_propn = wl_measures_readability.gunning_fog_index(main, test_text_eng_12_propn)
-    fog_index_pol_12 = wl_measures_readability.gunning_fog_index(main, test_text_pol_12)
-    fog_index_spa_12 = wl_measures_readability.gunning_fog_index(main, test_text_spa_12)
+def test_fog_index():
+    fog_index_eng_0 = wl_measures_readability.fog_index(main, test_text_eng_0)
+    fog_index_eng_12_propn = wl_measures_readability.fog_index(main, test_text_eng_12_propn)
+    fog_index_pol_12 = wl_measures_readability.fog_index(main, test_text_pol_12)
+    fog_index_spa_12 = wl_measures_readability.fog_index(main, test_text_spa_12)
 
     print('Gunning Fog Index:')
     print(f'\teng/0: {fog_index_eng_0}')
@@ -394,10 +411,10 @@ def test_gunning_fog_index():
     assert fog_index_pol_12 == 0.4 * (12 / 3 + 1 / 12 * 100)
     assert fog_index_spa_12 == 'no_support'
 
-def test_legibility_mu():
-    mu_spa_0 = wl_measures_readability.legibility_mu(main, test_text_spa_0)
-    mu_spa_12 = wl_measures_readability.legibility_mu(main, test_text_spa_12)
-    mu_eng_12 = wl_measures_readability.legibility_mu(main, test_text_eng_12)
+def test_mu():
+    mu_spa_0 = wl_measures_readability.mu(main, test_text_spa_0)
+    mu_spa_12 = wl_measures_readability.mu(main, test_text_spa_12)
+    mu_eng_12 = wl_measures_readability.mu(main, test_text_eng_12)
 
     print('Legibilidad µ:')
     print(f'\tspa/0: {mu_spa_0}')
@@ -439,10 +456,10 @@ def test_lix():
     assert lix_eng_12 == 12 / 3 + 100 * (3 / 12)
     assert lix_spa_12 != 'no_support'
 
-def test_mcalpine_eflaw():
-    eflaw_eng_0 = wl_measures_readability.mcalpine_eflaw(main, test_text_eng_0)
-    eflaw_eng_12 = wl_measures_readability.mcalpine_eflaw(main, test_text_eng_12)
-    eflaw_spa_12 = wl_measures_readability.mcalpine_eflaw(main, test_text_spa_12)
+def test_eflaw():
+    eflaw_eng_0 = wl_measures_readability.eflaw(main, test_text_eng_0)
+    eflaw_eng_12 = wl_measures_readability.eflaw(main, test_text_eng_12)
+    eflaw_spa_12 = wl_measures_readability.eflaw(main, test_text_spa_12)
 
     print('McAlpine EFLAW Readability Score:')
     print(f'\teng/0: {eflaw_eng_0}')
@@ -511,17 +528,17 @@ def test_spache_grade_level():
     assert grade_level_eng_100 == numpy.mean([0.141 * (100 / 25) + 0.086 * (25 / 100 * 100) + 0.839] * 3)
     assert grade_level_spa_12 == 'no_support'
 
-def test_wiener_sachtextformel():
-    wstf_deu_0 = wl_measures_readability.wiener_sachtextformel(main, test_text_deu_0)
+def test_wstf():
+    wstf_deu_0 = wl_measures_readability.wstf(main, test_text_deu_0)
     settings['wstf']['variant'] = '1'
-    wstf_deu_12_1 = wl_measures_readability.wiener_sachtextformel(main, test_text_deu_12)
+    wstf_deu_12_1 = wl_measures_readability.wstf(main, test_text_deu_12)
     settings['wstf']['variant'] = '2'
-    wstf_deu_12_2 = wl_measures_readability.wiener_sachtextformel(main, test_text_deu_12)
+    wstf_deu_12_2 = wl_measures_readability.wstf(main, test_text_deu_12)
     settings['wstf']['variant'] = '3'
-    wstf_deu_12_3 = wl_measures_readability.wiener_sachtextformel(main, test_text_deu_12)
+    wstf_deu_12_3 = wl_measures_readability.wstf(main, test_text_deu_12)
     settings['wstf']['variant'] = '4'
-    wstf_deu_12_4 = wl_measures_readability.wiener_sachtextformel(main, test_text_deu_12)
-    wstf_eng_12 = wl_measures_readability.wiener_sachtextformel(main, test_text_eng_12)
+    wstf_deu_12_4 = wl_measures_readability.wstf(main, test_text_deu_12)
+    wstf_eng_12 = wl_measures_readability.wstf(main, test_text_eng_12)
 
     print('Wiener Sachtextformel:')
     print(f'\tdeu/0: {wstf_deu_0}')
@@ -544,8 +561,8 @@ def test_wiener_sachtextformel():
     assert wstf_eng_12 == 'no_support'
 
 if __name__ == '__main__':
-    test_automated_ara_readability_index()
-    test_automated_readability_index()
+    test_aari()
+    test_ari()
     test_bormuths_cloze_mean()
     test_bormuths_gp()
     test_coleman_liau_index()
@@ -553,21 +570,22 @@ def test_wiener_sachtextformel():
     test_dale_chall_readability_formula()
     test_dale_chall_readability_formula_new()
     test_danielson_bryans_readability_formula()
+    test_drp()
     test_devereux_readability_index()
-    test_flesch_kincaid_grade_level()
-    test_flesch_reading_ease()
-    test_flesch_reading_ease_simplified()
-    test_forcast_grade_level()
-    test_formula_de_comprensibilidad_de_gutierrez_de_polini()
+    test_gl()
+    test_re_flesch()
+    test_re_simplified()
+    test_rgl()
+    test_cp()
     test_formula_de_crawford()
     test_gulpease_index()
-    test_gunning_fog_index()
-    test_legibility_mu()
+    test_fog_index()
+    test_mu()
     test_lensear_write()
     test_lix()
-    test_mcalpine_eflaw()
+    test_eflaw()
     test_osman()
     test_rix()
     test_smog_grade()
     test_spache_grade_level()
-    test_wiener_sachtextformel()
+    test_wstf()
diff --git a/tests/wl_tests_work_area/test_profiler.py b/tests/wl_tests_work_area/test_profiler.py
index 8d70ff5ed..bd882fb3d 100644
--- a/tests/wl_tests_work_area/test_profiler.py
+++ b/tests/wl_tests_work_area/test_profiler.py
@@ -95,7 +95,7 @@ def update_gui(err_msg, texts_stats_files):
         count_tokens_lens_syls.append(collections.Counter(len_tokens_syls))
         count_tokens_lens_chars.append(collections.Counter(len_tokens_chars))
 
-        assert len(readability_statistics) == 26
+        assert len(readability_statistics) == 28
 
         # Counts
         assert count_paras
diff --git a/wordless/wl_measures/wl_measures_readability.py b/wordless/wl_measures/wl_measures_readability.py
index dab05e257..7374139c5 100644
--- a/wordless/wl_measures/wl_measures_readability.py
+++ b/wordless/wl_measures/wl_measures_readability.py
@@ -17,10 +17,12 @@
 # ----------------------------------------------------------------------
 
 import bisect
+import math
 import random
 import re
 
 import numpy
+
 from wordless.wl_checks import wl_checks_tokens
 from wordless.wl_nlp import wl_pos_tagging, wl_syl_tokenization
 from wordless.wl_utils import wl_misc, wl_paths
@@ -128,7 +130,7 @@ def get_count_words_dale(words, num_easy_words):
 
 # Automated Arabic Readability Index
 # Reference: Al-Tamimi, A., Jaradat M., Aljarrah, N., & Ghanim, S. (2013). AARI: Automatic Arabic readability index. The International Arab Journal of Information Technology, 11(4), pp. 370–378.
-def automated_ara_readability_index(main, text):
+def aari(main, text):
     if text.lang == 'ara':
         text = get_counts(main, text)
 
@@ -147,7 +149,7 @@ def automated_ara_readability_index(main, text):
 
 # Automated Readability Index
 # Reference: Smith, E. A., & Senter, R. J. (1967). Automated readability index. Aerospace Medical Research Laboratories. https://apps.dtic.mil/sti/pdfs/AD0667273.pdf
-def automated_readability_index(main, text):
+def ari(main, text):
     text = get_counts(main, text)
 
     if text.count_sentences and text.count_words:
@@ -185,20 +187,17 @@ def bormuths_cloze_mean(main, text):
     return m
 
 def bormuths_gp(main, text):
-    if text.lang.startswith('eng_'):
-        m = bormuths_cloze_mean(main, text)
-        c = main.settings_custom['measures']['readability']['bormuths_gp']['cloze_criterion_score'] / 100
+    m = bormuths_cloze_mean(main, text)
 
-        if m == 'text_too_short':
-            gp = m
-        else:
-            gp = (
-                4.275 + 12.881 * m - 34.934 * (m**2) + 20.388 * (m**3)
-                + 26.194 * c - 2.046 * (c**2) - 11.767 * (c**3)
-                - 44.285 * (m * c) + 97.620 * ((m * c)**2) - 59.538 * ((m * c)**3)
-            )
+    if m not in ['no_support', 'text_too_short']:
+        c = main.settings_custom['measures']['readability']['bormuths_gp']['cloze_criterion_score'] / 100
+        gp = (
+            4.275 + 12.881 * m - 34.934 * (m**2) + 20.388 * (m**3)
+            + 26.194 * c - 2.046 * (c**2) - 11.767 * (c**3)
+            - 44.285 * (m * c) + 97.620 * ((m * c)**2) - 59.538 * ((m * c)**3)
+        )
     else:
-        gp = 'no_support'
+        gp = m
 
     return gp
 
@@ -336,6 +335,20 @@ def danielson_bryans_readability_formula(main, text):
 
     return danielson_bryan
 
+# Degrees of Reading Power
+# References:
+#     College Entrance Examination Board. (1981). Degrees of reading power brings the students and the text together.
+#     Carver, R. P. (1985). Measuring readability using DRP units. Journal of Reading Behavior, 17(4), 303–316. https://doi.org/10.1080/10862968509547547
+def drp(main, text):
+    m = bormuths_cloze_mean(main, text)
+
+    if m not in ['no_support', 'text_too_short']:
+        drp = 100 - math.floor(m * 100 + 0.5)
+    else:
+        drp = m
+
+    return drp
+
 # Devereux Readability Index
 # Reference: Smith, E. A. (1961). Devereaux readability index. Journal of Educational Research, 54(8), 298–303. https://doi.org/10.1080/00220671.1961.10882728
 def devereux_readability_index(main, text):
@@ -354,7 +367,7 @@ def devereux_readability_index(main, text):
 
 # Flesch-Kincaid Grade Level
 # Reference: Kincaid, J. P., Fishburne, R. P., Rogers, R. L., & Chissom, B. S. (1975). Derivation of new readability formulas (automated readability index, fog count, and Flesch reading ease formula) for navy enlisted personnel. Naval Air Station Memphis. https://apps.dtic.mil/sti/pdfs/ADA006655.pdf
-def flesch_kincaid_grade_level(main, text):
+def gl(main, text):
     if text.lang in main.settings_global['syl_tokenizers']:
         text = get_counts(main, text)
 
@@ -394,7 +407,7 @@ def flesch_kincaid_grade_level(main, text):
 #     Garais, E. (2011). Web applications readability. Journal of Information Systems and Operations Management, 5(1), 117–121. http://www.rebe.rau.ro/RePEc/rau/jisomg/SP11/JISOM-SP11-A13.pdf
 # Spanish variant (Szigriszt Pazos):
 #     Szigriszt Pazos, F. (1993). Sistemas predictivos de legibilidad del mensaje escrito: Formula de perspicuidad [Doctoral dissertation, Complutense University of Madrid]. Biblos-e Archivo. https://repositorio.uam.es/bitstream/handle/10486/2488/3907_barrio_cantalejo_ines_maria.pdf?sequence=1&isAllowed=y
-def flesch_reading_ease(main, text):
+def re_flesch(main, text):
     if text.lang in main.settings_global['syl_tokenizers']:
         text = get_counts(main, text)
 
@@ -464,7 +477,7 @@ def flesch_reading_ease(main, text):
 
 # Flesch Reading Ease (Simplified)
 # Reference: Farr, J. N., Jenkins, J. J., & Paterson, D. G. (1951). Simplification of Flesch reading ease formula. Journal of Applied Psychology, 35(5), 333–337. https://doi.org/10.1037/h0062427
-def flesch_reading_ease_simplified(main, text):
+def re_simplified(main, text):
     if text.lang in main.settings_global['syl_tokenizers']:
         text = get_counts(main, text)
 
@@ -485,7 +498,7 @@ def flesch_reading_ease_simplified(main, text):
 
 # FORCAST Grade Level
 # Reference: Caylor, J. S., Sticht, T. G., Fox, L. C., & Ford, J. P. (1973). Methodologies for determining reading requirements of military occupational specialties. Human Resource Research Organization. https://files.eric.ed.gov/fulltext/ED074343.pdf
-def forcast_grade_level(main, text):
+def rgl(main, text):
     if text.lang in main.settings_global['syl_tokenizers']:
         text = get_counts(main, text)
 
@@ -506,7 +519,7 @@ def forcast_grade_level(main, text):
 # References:
 #     Gutiérrez de Polini, L. E. (1972). Investigación sobre lectura en Venezuela [Paper presentation]. Primeras Jornadas de Educación Primaria, Ministerio de Educación, Caracas, Venezuela.
 #     Rodríguez Trujillo, N. (1980). Determinación de la comprensibilidad de materiales de lectura por medio de variables lingüísticas. Lectura y Vida, 1(1). http://www.lecturayvida.fahce.unlp.edu.ar/numeros/a1n1/01_01_Rodriguez.pdf
-def formula_de_comprensibilidad_de_gutierrez_de_polini(main, text):
+def cp(main, text):
     if text.lang == 'spa':
         text = get_counts(main, text)
 
@@ -567,7 +580,7 @@ def gulpease_index(main, text):
 #     Gunning, R. (1968). The technique of clear writing (revised ed.). McGraw-Hill Book Company.
 # Polish variant:
 #     Pisarek, W. (1969). Jak mierzyć zrozumiałość tekstu?. Zeszyty Prasoznawcze, 4(42), 35–48.
-def gunning_fog_index(main, text):
+def fog_index(main, text):
     if text.lang.startswith('eng_') or text.lang == 'pol' and text.lang in main.settings_global['syl_tokenizers']:
         text = get_counts(main, text)
 
@@ -604,7 +617,7 @@ def gunning_fog_index(main, text):
 
 # Legibilidad µ
 # Reference: Muñoz Baquedano, M. (2006). Legibilidad y variabilidad de los textos. Boletín de Investigación Educacional, Pontificia Universidad Católica de Chile, 21(2), 13–26.
-def legibility_mu(main, text):
+def mu(main, text):
     if text.lang == 'spa':
         text = get_counts(main, text)
 
@@ -689,7 +702,7 @@ def lix(main, text):
 
 # McAlpine EFLAW Readability Score
 # Reference: Nirmaldasan. (2009, April 30). McAlpine EFLAW readability score. Readability Monitor. Retrieved November 15, 2022, from https://strainindex.wordpress.com/2009/04/30/mcalpine-eflaw-readability-score/
-def mcalpine_eflaw(main, text):
+def eflaw(main, text):
     if text.lang.startswith('eng_'):
         text = get_counts(main, text)
 
@@ -872,7 +885,7 @@ def spache_grade_level(main, text):
 # References:
 #     Bamberger, R., & Vanecek, E. (1984). Lesen – Verstehen – Lernen – Schreiben. Jugend und Volk.
 #     Lesbarkeitsindex. (2022, July 21). In Wikipedia. https://de.wikipedia.org/w/index.php?title=Lesbarkeitsindex&oldid=224664667
-def wiener_sachtextformel(main, text):
+def wstf(main, text):
     if text.lang.startswith('deu_') and text.lang in main.settings_global['syl_tokenizers']:
         text = get_counts(main, text)
 
diff --git a/wordless/wl_profiler.py b/wordless/wl_profiler.py
index 0fb23a07d..f39a9402f 100644
--- a/wordless/wl_profiler.py
+++ b/wordless/wl_profiler.py
@@ -366,6 +366,7 @@ def __init__(self, parent):
             _tr('wl_profiler', 'Dale-Chall Readability Formula'),
             _tr('wl_profiler', 'Dale-Chall Readability Formula (New)'),
             _tr('wl_profiler', "Danielson-Bryan's Readability Formula"),
+            _tr('wl_profiler', 'Degrees of Reading Power'),
             _tr('wl_profiler', 'Devereaux Readability Index'),
             _tr('wl_profiler', 'Flesch-Kincaid Grade Level'),
             _tr('wl_profiler', 'Flesch Reading Ease'),
@@ -1176,8 +1177,8 @@ def run(self):
                 # Readability
                 if self.profiler_tab in ['readability', 'all']:
                     readability_stats = [
-                        wl_measures_readability.automated_ara_readability_index(self.main, text),
-                        wl_measures_readability.automated_readability_index(self.main, text),
+                        wl_measures_readability.aari(self.main, text),
+                        wl_measures_readability.ari(self.main, text),
                         wl_measures_readability.bormuths_cloze_mean(self.main, text),
                         wl_measures_readability.bormuths_gp(self.main, text),
                         wl_measures_readability.coleman_liau_index(self.main, text),
@@ -1185,24 +1186,25 @@ def run(self):
                         wl_measures_readability.dale_chall_readability_formula(self.main, text),
                         wl_measures_readability.dale_chall_readability_formula_new(self.main, text),
                         wl_measures_readability.danielson_bryans_readability_formula(self.main, text),
+                        wl_measures_readability.drp(self.main, text),
                         wl_measures_readability.devereux_readability_index(self.main, text),
-                        wl_measures_readability.flesch_kincaid_grade_level(self.main, text),
-                        wl_measures_readability.flesch_reading_ease(self.main, text),
-                        wl_measures_readability.flesch_reading_ease_simplified(self.main, text),
-                        wl_measures_readability.forcast_grade_level(self.main, text),
-                        wl_measures_readability.formula_de_comprensibilidad_de_gutierrez_de_polini(self.main, text),
+                        wl_measures_readability.gl(self.main, text),
+                        wl_measures_readability.re_flesch(self.main, text),
+                        wl_measures_readability.re_simplified(self.main, text),
+                        wl_measures_readability.rgl(self.main, text),
+                        wl_measures_readability.cp(self.main, text),
                         wl_measures_readability.formula_de_crawford(self.main, text),
                         wl_measures_readability.gulpease_index(self.main, text),
-                        wl_measures_readability.gunning_fog_index(self.main, text),
-                        wl_measures_readability.legibility_mu(self.main, text),
+                        wl_measures_readability.fog_index(self.main, text),
+                        wl_measures_readability.mu(self.main, text),
                         wl_measures_readability.lensear_write(self.main, text),
                         wl_measures_readability.lix(self.main, text),
-                        wl_measures_readability.mcalpine_eflaw(self.main, text),
+                        wl_measures_readability.eflaw(self.main, text),
                         wl_measures_readability.osman(self.main, text),
                         wl_measures_readability.rix(self.main, text),
                         wl_measures_readability.smog_grade(self.main, text),
                         wl_measures_readability.spache_grade_level(self.main, text),
-                        wl_measures_readability.wiener_sachtextformel(self.main, text)
+                        wl_measures_readability.wstf(self.main, text)
                     ]
                 else:
                     readability_stats = None