Stjärnornas öden by Svante Arrhenius : Difficulty Assessment for Swedish Learners

How difficult is Stjärnornas öden for Swedish learners? We have performed multiple tests on its full text (freely available here) of approximately 39,239, crunched all the numbers for you and present the results below.

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Difficulty Assessment Summary

We have estimated Stjärnornas öden to have a difficulty score of 72. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 72% 72
Vocabulary Difficulty 81% 81
Grammatical Difficulty 64% 64

Vocabulary Difficulty: Breakdown

81%

Vocabulary difficulty: 81%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Swedish). It combines various measures of Stjärnornas öden'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 Swedish appear in the full text of Stjärnornas öden:

Vocabulary difficulty breakdown for Stjärnornas öden: a test for Swedish top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Stjärnornas öden:

Measure Score
Measure Score
Number of words 39,239
Number of unique words 7,929
Number of recognized words for names/places/other entities 977
Number of very rare non-entity words 2,802
Number of sentences 6,582
Average number of words/sentence 6

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 7,770 words (where all the forms of the word are still counted as unique words) in Swedish to be able to read Stjärnornas öden without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

64%

Grammatical difficulty: 64%

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 7
Coleman-Liau Index 11
Type/Token Ratio (TTR) 0.202069
Root type/Token Ratio (RTTR) 0.00000514971
Corrected type/Token Ratio (CTTR) 0.00000257485
MTLD Index 71
HDD Index 71
Yule's I Index 88
Lexical Diversity Index (MTLD + HD-D + Yule's I) 76

The type-token ratio (TTR) of Stjärnornas öden is 0.202069. 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 7,929, while the number of words is 39,239, so the TTR is 7,929 / 39,239 = 0.202069. 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. Especially since the number of words in this text is more than 1,000, the TTR is not likely to give an accurate measure.

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, 7,929 / (39,239 * 39,239) = 0.00000514971), while in CTTR, it is divided by a square of the number of words, multiplied twice 7,929 / 2 * (39,239 * 39,239) = 0.00000257485). 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 7, making it understandable for 7-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 Swedish.

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 76 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 64.

Other Information about Stjärnornas öden by Svante Arrhenius

We provide you a sample of the text below, however, the full text of the Stjärnornas öden is also available free of charge on our website.

Sample of text:

Skillnaden mellan temperaturen underdagen och natten bör på grund av ökenklimatet vara oerhört stor, så att om något liv kunde utvecklas under dagen, som har nära samma längd som hos oss — Marsdygnet har av Lowell bestämts vara 24 timmar 37 min. 22,6 sek. — och då möjligen temperaturen kan överstiga vattnets fryspunkt, sä skulle det skoningslöst härjas av den bistra nattfrosten. Campbell har givit en förklaring över orsaken till att Sliphers fotografier angåvo närvaro av vattenånga på Mars. Det visar sig vid en granskning av Sliphers observationer, att han fotograferade månen omkring 4 timmar senare på natten än Mars. Vid alla observationstillfällena, utom ett, funnos moln på himlen. Dessa antyda, att vatten fanns närvarande i luften, så att ...

Top most frequently used words in Stjärnornas öden by Svante Arrhenius*

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 och 891 2.27%
2 av 870 2.22%
3 att 622 1.59%
4 som 616 1.57%
5 592 1.51%
6 den 574 1.46%
7 de 536 1.37%
8 en 533 1.36%
9 är 388 0.99%
10 till 355 0.9%
11 för 308 0.78%
12 det 271 0.69%
13 med 265 0.68%
14 sig 243 0.62%
15 ej 216 0.55%
16 214 0.55%
17 Mars 200 0.51%
18 från 199 0.51%
19 om 187 0.48%
20 än 181 0.46%
21 vid 172 0.44%
22 har 166 0.42%
23 ett 165 0.42%
24 man 152 0.39%
25 ha 151 0.38%
26 under 145 0.37%
27 såsom 144 0.37%
28 äro 141 0.36%
29 dessa 128 0.33%
30 denna 124 0.32%
31 genom 122 0.31%
32 också 118 0.3%
33 eller 115 0.29%
34 mycket 113 0.29%
35 där 110 0.28%
36 omkring 109 0.28%
37 100 0.25%
38 jorden 97 0.25%
39 detta 96 0.24%
40 vi 92 0.23%
41 månen 90 0.23%
42 andra 87 0.22%
43 över 86 0.22%
44 solen 85 0.22%
45 kan 85 0.22%
46 dess 81 0.21%
47 stora 79 0.2%
48 vilka 78 0.2%
49 var 78 0.2%
50 även 77 0.2%
51 vara 75 0.19%
52 sin 75 0.19%
53 ju 74 0.19%
54 skulle 73 0.19%
55 jordens 73 0.19%
56 nu 73 0.19%
57 nära 72 0.18%
58 endast 72 0.18%
59 alla 71 0.18%
60 mellan 70 0.18%
61 kunna 68 0.17%
62 efter 67 0.17%
63 yta 62 0.16%
64 men 61 0.16%
65 procent 61 0.16%
66 ur 61 0.16%
67 därför 61 0.16%
68 större 61 0.16%
69 vintergatan 61 0.16%
70 dem 60 0.15%
71 deras 57 0.15%
72 mot 57 0.15%
73 mindre 57 0.15%
74 luften 57 0.15%
75 allt 57 0.15%
76 utan 56 0.14%
77 gånger 56 0.14%
78 Venus 55 0.14%
79 hos 54 0.14%
80 ut 54 0.14%
81 enligt 53 0.14%
82 stjärnorna 52 0.13%
83 fig 52 0.13%
84 höjd 52 0.13%
85 någon 51 0.13%
86 atmosfär 50 0.13%
87 icke 50 0.13%
88 se 50 0.13%
89 stjärnor 49 0.12%
90 olika 48 0.12%
91 gaser 48 0.12%
92 samma 47 0.12%
93 vatten 47 0.12%
94 sedan 46 0.12%
95 vattenånga 46 0.12%
96 stor 45 0.11%
97 något 44 0.11%
98 temperaturen 44 0.11%
99 månens 44 0.11%
100 grund 44 0.11%
101 särskilt 42 0.11%
102 grad 42 0.11%
103 synes 42 0.11%
104 varit 42 0.11%
105 nya 41 0.1%
106 två 40 0.1%
107 starkt 40 0.1%
108 högre 40 0.1%
109 bland 40 0.1%
110 vår 39 0.1%
111 vilken 39 0.1%
112 grader 39 0.1%
113 således 39 0.1%
114 ligga 39 0.1%
115 oss 39 0.1%
116 upp 38 0.1%
117 emellertid 38 0.1%
118 några 38 0.1%
119 dock 38 0.1%
120 år 37 0.09%
121 tid 37 0.09%
122 Merkurius 37 0.09%
123 sätt 36 0.09%
124 ligger 36 0.09%
125 nog 35 0.09%
126 synas 35 0.09%
127 väl 35 0.09%
128 finnas 35 0.09%
129 nämligen 35 0.09%
130 mer 34 0.09%
131 lika 34 0.09%
132 ljus 32 0.08%
133 hela 32 0.08%
134 kilometer 32 0.08%
135 rum 32 0.08%
136 måste 31 0.08%
137 inom 31 0.08%
138 vilket 31 0.08%
139 kring 31 0.08%
140 längre 31 0.08%
141 ännu 30 0.08%
142 åt 30 0.08%
143 medan 30 0.08%
144 kallade 30 0.08%
145 del 30 0.08%
146 ganska 29 0.07%
147 avseende 29 0.07%
148 sina 29 0.07%
149 ofta 29 0.07%
150 ringa 29 0.07%
151 Lowell 28 0.07%
152 kilometers 28 0.07%
153 hade 28 0.07%
154 hög 28 0.07%
155 stundom 28 0.07%
156 planeten 28 0.07%
157 solens 27 0.07%
158 trakter 27 0.07%
159 därav 27 0.07%
160 sprickor 26 0.07%
161 kunde 26 0.07%
162 senare 26 0.07%
163 nästan 26 0.07%
164 tvivel 26 0.07%
165 delar 26 0.07%
166 våra 26 0.07%
167 voro 26 0.07%
168 sitt 26 0.07%
169 skola 25 0.06%
170 alldeles 25 0.06%
171 tider 25 0.06%
172 sannolikt 25 0.06%
173 båda 25 0.06%
174 tiden 25 0.06%
175 mera 25 0.06%
176 vida 25 0.06%
177 största 25 0.06%
178 bort 25 0.06%
179 likasom 24 0.06%
180 molnen 24 0.06%

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 Stjärnornas öden by Svante Arrhenius

Other resources and languages

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

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