Сцена из Фауста (Мне скучно, бес...) (Scena iz Fausta (Mne skuchno, bes...)) by Александр Пушкин (Aleksandr Pushkin): Difficulty Assessment for Russian Learners

How difficult is Сцена из Фауста (Мне скучно, бес...) (Scena iz Fausta (Mne skuchno, bes...)) for Russian learners? We have performed multiple tests on its full text (freely available here) of approximately 621, crunched all the numbers for you and present the results below.

Read the Full Text Now for Free!

Difficulty Assessment Summary

We have estimated Сцена из Фауста (Мне скучно, бес...) to have a difficulty score of 65. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 65% 65
Vocabulary Difficulty 87% 87
Grammatical Difficulty 43% 43

Vocabulary Difficulty: Breakdown

87%

Vocabulary difficulty: 87%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Russian). It combines various measures of Сцена из Фауста (Мне скучно, бес...)'s text analyzed in terms of frequency vocabulary: a plain vocabulary score, frequency-weighted vocabulary score, banded frequency vocabulary scores based on vocabulary of the text falling in the top 1,000 or 2,000 most frequent words, etc. Here's a further breakdown of how often the top most frequently used words in Russian appear in the full text of Сцена из Фауста (Мне скучно, бес...):

Vocabulary difficulty breakdown for Сцена из Фауста (Мне скучно, бес...): a test for Russian top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Сцена из Фауста (Мне скучно, бес...):

Measure Score
Measure Score
Number of words 621
Number of unique words 384
Number of recognized words for names/places/other entities 32
Number of very rare non-entity words 16
Number of sentences 146
Average number of words/sentence 4

There is some research suggesting that that you need to know about 98% of a text's vocabulary in order to be able to infer the meaning of unknown words when reading. If true, this means that you would need to know around 376 words (where all the forms of the word are still counted as unique words) in Russian to be able to read Сцена из Фауста (Мне скучно, бес...) without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

43%

Grammatical difficulty: 43%

Here is the further grammatical comparison on this text. You can find an explanation of all these scores below.

Measure Score
Measure Score
Automated Readability Index 0
Coleman-Liau Index 1
Type/Token Ratio (TTR) 0.618357
Root type/Token Ratio (RTTR) 0.000995745
Corrected type/Token Ratio (CTTR) 0.000497872
MTLD Index 73
HDD Index 65
Yule's I Index 74
Lexical Diversity Index (MTLD + HD-D + Yule's I) 71

The type-token ratio (TTR) of Сцена из Фауста (Мне скучно, бес...) is 0.618357. The TTR is the most basic measure of lexical diversity. To calculate it, we divide the number of unique words by the number of words in the text. For example, for this text, the number of unique words is 384, while the number of words is 621, so the TTR is 384 / 621 = 0.618357. However, the TTR is a very crude measure, as it is extremely dependent on text length. The longer the text, the lower the TTR is usually going to be, since common words tend to often repeat.

The root type-token ratio (RTTR) and corrected type-token ratio (CTTR) are measures which were suggested by researchers to partially address the problem of TTR's variance on text length. In the RTTR, the number of unique words is divided by a square of the number of words (therefore, 384 / (621 * 621) = 0.000995745), while in CTTR, it is divided by a square of the number of words, multiplied twice 384 / 2 * (621 * 621) = 0.000497872). However, these measures are not as easily readable, and also there is a growing body of research asserting that CTTR and RTTR do not effectively address the problems of text length. Therefore, while we do provide the full text's TTR, RTTR and CTTR on this page, these fiqures do not form part of our final calculations.

The Automated Readability Index (ARI) is one readability measure that has been developed by researchers over the years. The formula for calculating the ARI is as follows:
Formula for calculating the Automated Readability Index

The ARI should compute a reading level approximately corresponding to the reader's grade level (assuming the reader undertakes formal education). Thus, for example, a value of 1 is kindergarten level, while a value of 12 or 13 is the last year of school, and 14 is a sophomore at college. The current ARI of this text is 0, making it understandable for 0-grade students at their expected level of education.

The Coleman Liau Index (CLI) is a similar index designed by Meri Coleman and T. L. Liau, and it is supposed to compute the grade level of the reader (thus, for example, sophomore level material would be around grade 14, or year 14 of formal education, while kindergarten / primary school level material would be close to grade 1 in the CLI). The CLI is usually slightly higher than the ARI. The CLI is computed with this formula:
Formula for calculating the Coleman-Liau Readability Index

It is notable that other indexes exist, such as the Flesch-Kincaid Reading Ease, Gunning-Fog Score, and others, but we have chosen not to include them, since, contrary to the ARI and CLI, such other indexes are based on a syllable count and therefore arguably only work for English and not Russian.

We compute a further compound lexical diversity index, which should range from 1 to a 100 (with the standard deviation being around 10, and its average value being around 50) - it is 71 in the present case. The compound lexical diversity index consists of the following indexes, averaged out (and also provided in the table above):

  • the Measure of Textual Lexical Diversity (MTLD) index - a measure which is based on computing the TTR for increasingly larger parts of the text until the TTR drops below a certain threshold point (around 0.7 in our case) - in which case, the TTR is reset, and the overall counter is increased; the counter is at the end divided by the number of words in text; as a result, the MTLD does not significantly vary by text length;
  • the Yule's I index (based on Yule's K characteristic inverted) - an index based on the work of the statistician G.U. Yule, who published his index of Frequency Vocabulary in his paper "The statistical study of literary vocabulary"; Yule's I takes into account the number of words in the text, and a compound summed measure of word frequency;
  • the Hypergeometric Distribution D (HD-D) index (based on vocd) - an index which assesses the contribution of each word to the diversity of the text; to calculate such contributions, a hypergeometric distribution is used to compute probabilities of each word appearing in word samples extracted from the text; then such distributions are divided by sample sizes and added up;

Our overall measure of grammatical diversity is based on a combination of the compound lexical diversity index (which includes the MTLD, Yule's I and HD-D indexes), the ARI and CLI, all normalized and given certain weight. The score should normally range from 1 to 100. In this case, the score is 43.

Other Information about Сцена из Фауста (Мне скучно, бес...) by Александр Пушкин

We provide you a sample of the text below, however, the full text of the Сцена из Фауста (Мне скучно, бес...) is also available free of charge on our website.

Sample of text:

Ну, что? М е ф и с т о ф е л ь Ты думал: агнец мой послушный! Как жадно я тебя желал! Как хитро в деве простодушной Я грезы сердца возмущал! Любви невольной, бескорыстной Невинно предалась она... Что ж грудь моя теперь полна Тоской и скукой ненавистной?.. На жертву прихоти моей Гляжу, упившись наслажденьем, С неодолимым отвращеньем: Так безрасчетный дуралей, Вотще решась на злое дело, Зарезав нищего в лесу, Бранит ободранное тело; Так на продажную красу, Насытясь ею торопливо, ...

Top most frequently used words in Сцена из Фауста (Мне скучно, бес...) by Александр Пушкин*

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 Ты 7 1.13%
2 Что 5 0.81%
3 Не 5 0.81%
4 Как 5 0.81%
5 ли 5 0.81%
6 ль 5 0.81%
7 Тогда 4 0.64%
8 от 4 0.64%
9 тебя 3 0.48%
10 Но 3 0.48%
11 на 3 0.48%
12 ее 3 0.48%
13 мне 3 0.48%
14 Там 2 0.32%
15 Тот 2 0.32%
16 она 2 0.32%
17 Так 2 0.32%
18 сон 2 0.32%
19 знаешь 2 0.32%
20 жизни 2 0.32%
21 думал 2 0.32%
22 размышленье 2 0.32%
23 был 2 0.32%
24 Фауст 2 0.32%
25 никто 2 0.32%
26 где 2 0.32%
27 Да 2 0.32%
28 из 2 0.32%
29 счастлив 2 0.32%
30 Когда 2 0.32%
31 всё 2 0.32%
32 вам 2 0.32%
33 мой 2 0.32%
34 скуки 2 0.32%
35 свиданье 1 0.16%
36 Говори 1 0.16%
37 своем 1 0.16%
38 розги 1 0.16%
39 болезнь 1 0.16%
40 наяву 1 0.16%
41 злое 1 0.16%
42 наслажденьем 1 0.16%
43 думает 1 0.16%
44 духам 1 0.16%
45 пучину 1 0.16%
46 мы 1 0.16%
47 дело 1 0.16%
48 нибудь 1 0.16%
49 помнится 1 0.16%
50 будь 1 0.16%
51 Вотще 1 0.16%
52 по 1 0.16%
53 темную 1 0.16%
54 красоты 1 0.16%
55 первое 1 0.16%
56 погрузился 1 0.16%
57 Неуловим 1 0.16%
58 великодушные 1 0.16%
59 твоя 1 0.16%
60 беспокойною 1 0.16%
61 этого 1 0.16%
62 творенье 1 0.16%
63 вас 1 0.16%
64 Сокройся 1 0.16%
65 Услужливым 1 0.16%
66 подарена 1 0.16%
67 нем 1 0.16%
68 Две 1 0.16%
69 Сейчас 1 0.16%
70 моего 1 0.16%
71 Рассеяться 1 0.16%
72 времени 1 0.16%
73 души 1 0.16%
74 дев 1 0.16%
75 сотни 1 0.16%
76 похмелья 1 0.16%
77 наука 1 0.16%
78 веру 1 0.16%
79 агнец 1 0.16%
80 всего 1 0.16%
81 огня 1 0.16%
82 утратил 1 0.16%
83 Подумай 1 0.16%
84 тело 1 0.16%
85 Любви 1 0.16%
86 Одно 1 0.16%
87 мелким 1 0.16%
88 меня 1 0.16%
89 через 1 0.16%
90 Найди 1 0.16%
91 Без 1 0.16%
92 бескорыстной 1 0.16%
93 запиши 1 0.16%
94 шутка 1 0.16%
95 Отдохновение 1 0.16%
96 Возил 1 0.16%
97 насладился 1 0.16%
98 благо 1 0.16%
99 слава 1 0.16%
100 лени 1 0.16%
101 живет 1 0.16%
102 Таков 1 0.16%
103 узнать 1 0.16%
104 вызвал 1 0.16%
105 даром 1 0.16%
106 твой 1 0.16%
107 славы 1 0.16%
108 нищего 1 0.16%
109 пламя 1 0.16%
110 мерзавцев 1 0.16%
111 разумная 1 0.16%
112 чистое 1 0.16%
113 решась 1 0.16%
114 ум 1 0.16%
115 небесный 1 0.16%
116 Потом 1 0.16%
117 способ 1 0.16%
118 Пристать 1 0.16%
119 влюбиться 1 0.16%
120 продажную 1 0.16%
121 ободранное 1 0.16%
122 поминать 1 0.16%
123 нет 1 0.16%
124 своего 1 0.16%
125 Зевай 1 0.16%
126 шумном 1 0.16%
127 свел 1 0.16%
128 хитро 1 0.16%
129 воспоминаньем 1 0.16%
130 дань 1 0.16%
131 желал 1 0.16%
132 насладиться 1 0.16%
133 растравляй 1 0.16%
134 наконец 1 0.16%
135 кто 1 0.16%
136 успел 1 0.16%
137 глубоком 1 0.16%
138 скучно 1 0.16%
139 Разврат 1 0.16%
140 бес 1 0.16%
141 делать 1 0.16%
142 отлучаться 1 0.16%
143 изволишь 1 0.16%
144 предел 1 0.16%
145 доказательством 1 0.16%
146 сочетанье 1 0.16%
147 тебе 1 0.16%
148 моя 1 0.16%
149 тайной 1 0.16%
150 лишь 1 0.16%
151 рассудка 1 0.16%
152 знаний 1 0.16%
153 влюбился 1 0.16%
154 честь 1 0.16%
155 Иной 1 0.16%
156 est 1 0.16%
157 простодушной 1 0.16%
158 извивался 1 0.16%
159 Невинно 1 0.16%
160 шоколата 1 0.16%
161 стараньем 1 0.16%
162 предалась 1 0.16%
163 психолог 1 0.16%
164 вечернего 1 0.16%
165 жертву 1 0.16%
166 возмущал 1 0.16%
167 язвы 1 0.16%

This list excludes punctuation or single-letter words, also some different-case repeats of the same words.

If you think the text would be accessible to you, you can read it on our site (click on the cover to access):

Cover of Сцена из Фауста (Мне скучно, бес...) by Александр Пушкин

Other resources and languages

If you like this analysis, you should have a look at out our lists of Russian short stories and Russian books.

If you like literature as a means to learn languages - please take a look at our project Interlinear Books. We even have a Russian Interlinear book available for purchase.