Vildmarkslif - nya skogs- och jakthistorier by Gustaf Schröder : Difficulty Assessment for Swedish Learners

How difficult is Vildmarkslif - nya skogs- och jakthistorier for Swedish learners? We have performed multiple tests on its full text (freely available here) of approximately 44,375, crunched all the numbers for you and present the results below.

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Difficulty Assessment Summary

We have estimated Vildmarkslif - nya skogs- och jakthistorier to have a difficulty score of 59. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 59% 59
Vocabulary Difficulty 73% 73
Grammatical Difficulty 46% 46

Vocabulary Difficulty: Breakdown

73%

Vocabulary difficulty: 73%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Swedish). It combines various measures of Vildmarkslif - nya skogs- och jakthistorier'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 Vildmarkslif - nya skogs- och jakthistorier:

Vocabulary difficulty breakdown for Vildmarkslif  - nya skogs- och jakthistorier: a test for Swedish top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Vildmarkslif - nya skogs- och jakthistorier:

Measure Score
Measure Score
Number of words 44,375
Number of unique words 7,465
Number of recognized words for names/places/other entities 1,655
Number of very rare non-entity words 2,227
Number of sentences 6,404
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 7,315 words (where all the forms of the word are still counted as unique words) in Swedish to be able to read Vildmarkslif - nya skogs- och jakthistorier without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

46%

Grammatical difficulty: 46%

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) 0.168225
Root type/Token Ratio (RTTR) 0.00000379099
Corrected type/Token Ratio (CTTR) 0.0000018955
MTLD Index 59
HDD Index 63
Yule's I Index 66
Lexical Diversity Index (MTLD + HD-D + Yule's I) 63

The type-token ratio (TTR) of Vildmarkslif - nya skogs- och jakthistorier is 0.168225. 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 7,465, while the number of words is 44,375, so the TTR is 7,465 / 44,375 = 0.168225. 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, 7,465 / (44,375 * 44,375) = 0.00000379099), while in CTTR, it is divided by a square of the number of words, multiplied twice 7,465 / 2 * (44,375 * 44,375) = 0.0000018955). 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 63 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 46.

Other Information about Vildmarkslif - nya skogs- och jakthistorier by Gustaf Schröder

We provide you a sample of the text below, however, the full text of the Vildmarkslif - nya skogs- och jakthistorier is also available free of charge on our website.

Sample of text:

Då Per hade tid slöjdade han för sitt husbehof, drog hem ved, eller var i skogen och samlade foder. Per var fullgod skytt, kunde sätta ut giller och snaror för allehanda djur, och hade sysslat därmed hela sin lefnad, tills han erhöll mera stadigvarande sysselsättning hos mig. Vida marker i alla väderstreck kände Per till. Styf skidlöpare, hade han varit med om att fälla tre björnar och flera älgar, innan vi sammanträffade och följdes åt några år. Många voro de skogsfärder vi företogo, ömsom med och ömsom utan lycka. Under dessa slet Per mest ondt, men aldrig såg jag honom missmodig eller nedslagen. Den tiden kom dock. ...

Top most frequently used words in Vildmarkslif - nya skogs- och jakthistorier by Gustaf Schröder*

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 och 1,984 4.47%
2 att 937 2.11%
3 han 766 1.73%
4 jag 712 1.6%
5 611 1.38%
6 var 570 1.28%
7 en 548 1.23%
8 vi 535 1.21%
9 som 485 1.09%
10 det 474 1.07%
11 hade 464 1.05%
12 de 457 1.03%
13 457 1.03%
14 med 452 1.02%
15 den 442 1%
16 till 431 0.97%
17 af 406 0.91%
18 343 0.77%
19 icke 329 0.74%
20 för 325 0.73%
21 men 296 0.67%
22 sig 283 0.64%
23 om 252 0.57%
24 ej 221 0.5%
25 mig 219 0.49%
26 där 208 0.47%
27 honom 201 0.45%
28 ett 188 0.42%
29 eller 184 0.41%
30 skulle 177 0.4%
31 dem 175 0.39%
32 kom 167 0.38%
33 voro 156 0.35%
34 sade 153 0.34%
35 kunde 151 0.34%
36 nog 145 0.33%
37 oss 143 0.32%
38 vid 143 0.32%
39 ty 142 0.32%
40 nu 142 0.32%
41 141 0.32%
42 är 138 0.31%
43 Per 136 0.31%
44 blef 132 0.3%
45 man 127 0.29%
46 efter 120 0.27%
47 sin 118 0.27%
48 upp 117 0.26%
49 under 117 0.26%
50 björnen 112 0.25%
51 ut 112 0.25%
52 än 108 0.24%
53 åt 106 0.24%
54 öfver 102 0.23%
55 101 0.23%
56 från 98 0.22%
57 någon 98 0.22%
58 min 97 0.22%
59 allt 94 0.21%
60 nalle 94 0.21%
61 gick 89 0.2%
62 fick 84 0.19%
63 utan 78 0.18%
64 snart 75 0.17%
65 in 74 0.17%
66 ville 74 0.17%
67 alla 73 0.16%
68 hans 73 0.16%
69 se 72 0.16%
70 andra 70 0.16%
71 Daniel 69 0.16%
72 sedan 68 0.15%
73 skogen 68 0.15%
74 Jonas 66 0.15%
75 fram 66 0.15%
76 väl 66 0.15%
77 tid 65 0.15%
78 äfven 64 0.14%
79 ned 63 0.14%
80 ni 63 0.14%
81 varit 62 0.14%
82 något 62 0.14%
83 några 61 0.14%
84 hvad 61 0.14%
85 fått 61 0.14%
86 långt 61 0.14%
87 hem 59 0.13%
88 ingen 59 0.13%
89 vara 58 0.13%
90 detta 56 0.13%
91 du 55 0.12%
92 gjorde 55 0.12%
93 älgen 54 0.12%
94 dag 54 0.12%
95 dock 54 0.12%
96 såg 53 0.12%
97 mot 52 0.12%
98 komma 51 0.11%
99 flera 51 0.11%
100 tog 51 0.11%
101 ha 51 0.11%
102 fanns 50 0.11%
103 tills 50 0.11%
104 denna 50 0.11%
105 par 49 0.11%
106 tiden 48 0.11%
107 har 47 0.11%
108 mina 47 0.11%
109 våra 47 0.11%
110 många 47 0.11%
111 både 47 0.11%
112 kan 46 0.1%
113 gång 46 0.1%
114 här 46 0.1%
115 sina 45 0.1%
116 måste 45 0.1%
117 hörde 45 0.1%
118 genom 45 0.1%
119 mycket 44 0.1%
120 blifvit 44 0.1%
121 kommo 44 0.1%
122 åter 43 0.1%
123 Ja 42 0.09%
124 vargen 42 0.09%
125 deras 42 0.09%
126 mera 42 0.09%
127 började 41 0.09%
128 ännu 41 0.09%
129 sitt 41 0.09%
130 längre 41 0.09%
131 igen 40 0.09%
132 skjuta 40 0.09%
133 heller 40 0.09%
134 dagar 40 0.09%
135 låg 39 0.09%
136 stora 39 0.09%
137 ur 39 0.09%
138 Anders 39 0.09%
139 också 39 0.09%
140 alltid 38 0.09%
141 stod 38 0.09%
142 björn 38 0.09%
143 älgarne 37 0.08%
144 dessa 37 0.08%
145 taga 37 0.08%
146 vår 37 0.08%
147 helt 36 0.08%
148 spår 36 0.08%
149 två 36 0.08%
150 älgar 36 0.08%
151 Isak 36 0.08%
152 skall 35 0.08%
153 vargarna 35 0.08%
154 hundarne 35 0.08%
155 stund 35 0.08%
156 hela 35 0.08%
157 bort 35 0.08%
158 år 35 0.08%
159 göra 35 0.08%
160 samma 34 0.08%
161 satte 34 0.08%
162 bra 34 0.08%
163 annat 34 0.08%
164 djur 34 0.08%
165 hur 34 0.08%
166 fann 33 0.07%
167 själf 33 0.07%
168 genast 33 0.07%
169 annan 33 0.07%
170 hvarför 32 0.07%
171 aldrig 32 0.07%
172 sett 31 0.07%
173 hos 31 0.07%
174 hunden 31 0.07%
175 kommit 31 0.07%
176 ofta 31 0.07%
177 visste 31 0.07%
178 älg 30 0.07%
179 rätt 30 0.07%
180 länge 30 0.07%
181 gärna 30 0.07%
182 mer 30 0.07%

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 Vildmarkslif  - nya skogs- och jakthistorier by Gustaf Schröder

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.