Arbetet adlar mannen by Marie Sophie Schwartz : Difficulty Assessment for Swedish Learners

How difficult is Arbetet adlar mannen for Swedish learners? We have performed multiple tests on its full text (freely available here) of approximately 120,262, crunched all the numbers for you and present the results below.

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Difficulty Assessment Summary

We have estimated Arbetet adlar mannen to have a difficulty score of 52. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 52% 52
Vocabulary Difficulty 52% 52
Grammatical Difficulty 53% 53

Vocabulary Difficulty: Breakdown

52%

Vocabulary difficulty: 52%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Swedish). It combines various measures of Arbetet adlar mannen'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 Arbetet adlar mannen:

Vocabulary difficulty breakdown for Arbetet adlar mannen: a test for Swedish top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Arbetet adlar mannen:

Measure Score
Measure Score
Number of words 120,262
Number of unique words 12,213
Number of recognized words for names/places/other entities 6,297
Number of very rare non-entity words 1,773
Number of sentences 17,640
Average number of words/sentence 7

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 11,968 words (where all the forms of the word are still counted as unique words) in Swedish to be able to read Arbetet adlar mannen without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

53%

Grammatical difficulty: 53%

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 3
Coleman-Liau Index 6
Type/Token Ratio (TTR) 0.101553
Root type/Token Ratio (RTTR) 0.000000844434
Corrected type/Token Ratio (CTTR) 0.000000422217
MTLD Index 71
HDD Index 68
Yule's I Index 81
Lexical Diversity Index (MTLD + HD-D + Yule's I) 73

The type-token ratio (TTR) of Arbetet adlar mannen is 0.101553. 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 12,213, while the number of words is 120,262, so the TTR is 12,213 / 120,262 = 0.101553. 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, 12,213 / (120,262 * 120,262) = 0.000000844434), while in CTTR, it is divided by a square of the number of words, multiplied twice 12,213 / 2 * (120,262 * 120,262) = 0.000000422217). 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 3, making it understandable for 3-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 73 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 53.

Other Information about Arbetet adlar mannen by Marie Sophie Schwartz

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

Sample of text:

Överilad och excentrisk, som hon var, behövdes ju endast några ord, för att tända hennes misstankar och förmå henne att i utbrottet av sina upprörda känslor säga ord, vilka sårade Langes »högmod». Bandet dem emellan vore därefter brutet och skulle förbliva det, om någon sedan på skickligt vis underblåste misstron och missförståndet. »Det är ju en riktig skändlighet», tänkte Evert, när han om aftonen befann sig allena i sitt rum, »att vara förälskad och hemligt förlovad med den ena, och ändå spela förälskad i den andra. Ah, jag förstår, Helfrids förmögenhet är endast obetydlig, då däremot Constance är rik. Den där moraliserande pedanten är en ganska god spekulant, som icke aktar för rov att spela trolös, när hans fördel så kräver; men den här gången vill jag i rättskänslans namn göra din beräkning om intet. Det är blott en plikt ...

Top most frequently used words in Arbetet adlar mannen by Marie Sophie Schwartz*

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 och 3,273 2.72%
2 att 3,220 2.68%
3 jag 1,818 1.51%
4 en 1,811 1.51%
5 det 1,537 1.28%
6 som 1,395 1.16%
7 1,373 1.14%
8 icke 1,329 1.11%
9 med 1,242 1.03%
10 han 1,238 1.03%
11 den 1,212 1.01%
12 av 1,197 1%
13 för 1,126 0.94%
14 till 1,118 0.93%
15 är 995 0.83%
16 sig 965 0.8%
17 mig 936 0.78%
18 var 876 0.73%
19 840 0.7%
20 ett 833 0.69%
21 hon 822 0.68%
22 om 689 0.57%
23 har 677 0.56%
24 ni 672 0.56%
25 Constance 661 0.55%
26 hade 636 0.53%
27 er 634 0.53%
28 du 586 0.49%
29 honom 556 0.46%
30 de 554 0.46%
31 Olga 531 0.44%
32 skulle 490 0.41%
33 465 0.39%
34 men 447 0.37%
35 Ivar 447 0.37%
36 Evert 406 0.34%
37 min 404 0.34%
38 henne 382 0.32%
39 sin 381 0.32%
40 Jacobo 365 0.3%
41 vad 359 0.3%
42 där 357 0.3%
43 skall 353 0.29%
44 vid 334 0.28%
45 nu 329 0.27%
46 Lange 316 0.26%
47 dig 306 0.25%
48 något 302 0.25%
49 sade 299 0.25%
50 utan 275 0.23%
51 man 268 0.22%
52 vi 268 0.22%
53 kan 266 0.22%
54 än 265 0.22%
55 hans 256 0.21%
56 detta 248 0.21%
57 allt 243 0.2%
58 hennes 243 0.2%
59 vara 241 0.2%
60 över 234 0.19%
61 efter 233 0.19%
62 mitt 228 0.19%
63 upp 219 0.18%
64 dem 218 0.18%
65 215 0.18%
66 under 210 0.17%
67 eller 207 0.17%
68 göra 205 0.17%
69 emot 202 0.17%
70 se 202 0.17%
71 ord 195 0.16%
72 sitt 192 0.16%
73 åt 191 0.16%
74 någon 190 0.16%
75 varit 189 0.16%
76 denna 189 0.16%
77 alla 187 0.16%
78 Kurt 186 0.15%
79 aldrig 184 0.15%
80 När 182 0.15%
81 Stephana 181 0.15%
82 ut 175 0.15%
83 svarade 174 0.14%
84 sina 171 0.14%
85 säga 169 0.14%
86 Helfrid 165 0.14%
87 ifrån 165 0.14%
88 väl 165 0.14%
89 vill 164 0.14%
90 kunde 160 0.13%
91 själv 159 0.13%
92 hava 156 0.13%
93 här 155 0.13%
94 dessa 154 0.13%
95 genom 152 0.13%
96 kunna 151 0.13%
97 huru 150 0.12%
98 gick 150 0.12%
99 måste 150 0.12%
100 Bengt 150 0.12%
101 såg 149 0.12%
102 bliva 145 0.12%
103 sedan 143 0.12%
104 från 138 0.11%
105 även 137 0.11%
106 några 135 0.11%
107 gjort 134 0.11%
108 kom 132 0.11%
109 in 132 0.11%
110 andra 131 0.11%
111 helt 131 0.11%
112 Kungsborg 130 0.11%
113 stod 130 0.11%
114 alldeles 130 0.11%
115 frågade 129 0.11%
116 hela 129 0.11%
117 såsom 129 0.11%
118 rätt 128 0.11%
119 ville 127 0.11%
120 oss 127 0.11%
121 därför 126 0.1%
122 dag 124 0.1%
123 mycket 124 0.1%
124 ej 122 0.1%
125 fröken 121 0.1%
126 hos 118 0.1%
127 alltid 118 0.1%
128 komma 115 0.1%
129 gång 114 0.09%
130 röst 112 0.09%
131 din 111 0.09%
132 ju 109 0.09%
133 fram 104 0.09%
134 blev 104 0.09%
135 hjärta 104 0.09%
136 patron 103 0.09%
137 nog 102 0.08%
138 blivit 100 0.08%
139 endast 99 0.08%
140 ned 98 0.08%
141 äro 98 0.08%
142 gjorde 98 0.08%
143 arbete 98 0.08%
144 Ja 97 0.08%
145 år 97 0.08%
146 Axelhjelm 97 0.08%
147 åter 97 0.08%
148 vet 97 0.08%
149 mera 95 0.08%
150 mina 94 0.08%
151 Gud 94 0.08%
152 likväl 94 0.08%
153 voro 93 0.08%
154 herr 92 0.08%
155 ur 91 0.08%
156 90 0.07%
157 vilken 89 0.07%
158 ögonblick 88 0.07%
159 gör 88 0.07%
160 blick 87 0.07%
161 samma 87 0.07%
162 Nej 87 0.07%
163 sätt 87 0.07%
164 första 86 0.07%
165 annat 86 0.07%
166 taga 84 0.07%
167 liv 84 0.07%
168 får 84 0.07%
169 83 0.07%
170 giva 83 0.07%
171 tog 83 0.07%
172 tror 82 0.07%
173 ännu 81 0.07%
174 arbetare 80 0.07%
175 utropade 80 0.07%
176 fick 80 0.07%
177 satt 79 0.07%
178 således 78 0.06%
179 hand 78 0.06%
180 vilja 78 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 Arbetet adlar mannen by Marie Sophie Schwartz

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.