Ledfyrar. Berättelse från västkusten by Wilma Lindhé : Difficulty Assessment for Swedish Learners

How difficult is Ledfyrar. Berättelse från västkusten for Swedish learners? We have performed multiple tests on its full text (freely available here) of approximately 63,136, crunched all the numbers for you and present the results below.

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Difficulty Assessment Summary

We have estimated Ledfyrar. Berättelse från västkusten to have a difficulty score of 63. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 63% 63
Vocabulary Difficulty 77% 77
Grammatical Difficulty 50% 50

Vocabulary Difficulty: Breakdown

77%

Vocabulary difficulty: 77%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Swedish). It combines various measures of Ledfyrar. Berättelse från västkusten'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 Ledfyrar. Berättelse från västkusten:

Vocabulary difficulty breakdown for Ledfyrar. Berättelse från västkusten: a test for Swedish top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Ledfyrar. Berättelse från västkusten:

Measure Score
Measure Score
Number of words 63,136
Number of unique words 10,406
Number of recognized words for names/places/other entities 2,475
Number of very rare non-entity words 3,289
Number of sentences 9,081
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 10,197 words (where all the forms of the word are still counted as unique words) in Swedish to be able to read Ledfyrar. Berättelse från västkusten without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

50%

Grammatical difficulty: 50%

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) 0.164819
Root type/Token Ratio (RTTR) 0.00000261054
Corrected type/Token Ratio (CTTR) 0.00000130527
MTLD Index 68
HDD Index 66
Yule's I Index 73
Lexical Diversity Index (MTLD + HD-D + Yule's I) 69

The type-token ratio (TTR) of Ledfyrar. Berättelse från västkusten is 0.164819. 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 10,406, while the number of words is 63,136, so the TTR is 10,406 / 63,136 = 0.164819. 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, 10,406 / (63,136 * 63,136) = 0.00000261054), while in CTTR, it is divided by a square of the number of words, multiplied twice 10,406 / 2 * (63,136 * 63,136) = 0.00000130527). 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 69 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 50.

Other Information about Ledfyrar. Berättelse från västkusten by Wilma Lindhé

We provide you a sample of the text below, however, the full text of the Ledfyrar. Berättelse från västkusten is also available free of charge on our website.

Sample of text:

Kanske var det en lycka, att potatislandet låg i träde nu, men hennes tankar gingo aldrig dit, och inte blefvo dagarna henne långa. Hafvet låg också så nära, och när helst hon hade ledigt, satte hon sig på stentrappan och stirrade ut däröfver, samspråkande med sig själf. »Mänsker dömer å dömer,» mumlade hon. »Både di som ä snöhvita in i själen å di som ä lika svarta som en ann. Men de kunne di låta bli, för en straffar sej själf hårdast. Ho ä sä ren ho, därinne, så de gör änna ondt i gamla syndia ögon. Å sån ska Per finna na, för de ä ja sköldi honom — å far hans.» Hafsvinden svepte råkall och fuktig kring husknutar och trappa, men hon kände det ej, upptagen ...

Top most frequently used words in Ledfyrar. Berättelse från västkusten by Wilma Lindhé*

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 och 2,301 3.64%
2 att 1,377 2.18%
3 han 1,052 1.67%
4 som 900 1.43%
5 en 897 1.42%
6 det 882 1.4%
7 823 1.3%
8 sig 760 1.2%
9 hon 693 1.1%
10 inte 637 1.01%
11 var 609 0.96%
12 de 597 0.95%
13 för 586 0.93%
14 577 0.91%
15 med 542 0.86%
16 till 506 0.8%
17 den 483 0.77%
18 af 453 0.72%
19 hade 447 0.71%
20 om 364 0.58%
21 ett 348 0.55%
22 än 306 0.48%
23 men 303 0.48%
24 honom 278 0.44%
25 ja 270 0.43%
26 eller 258 0.41%
27 jag 251 0.4%
28 skulle 235 0.37%
29 är 217 0.34%
30 där 216 0.34%
31 nu 215 0.34%
32 henne 214 0.34%
33 allt 212 0.34%
34 kan 210 0.33%
35 öfver 198 0.31%
36 har 198 0.31%
37 när 195 0.31%
38 195 0.31%
39 också 177 0.28%
40 du 177 0.28%
41 sin 175 0.28%
42 ej 173 0.27%
43 ut 157 0.25%
44 Rolf 150 0.24%
45 hvad 149 0.24%
46 hans 143 0.23%
47 hvilken 143 0.23%
48 liksom 141 0.22%
49 te 135 0.21%
50 kom 134 0.21%
51 kunde 133 0.21%
52 fram 132 0.21%
53 Bengt 128 0.2%
54 från 118 0.19%
55 annat 116 0.18%
56 114 0.18%
57 hennes 113 0.18%
58 vara 113 0.18%
59 utan 112 0.18%
60 sade 112 0.18%
61 själf 112 0.18%
62 ha 111 0.18%
63 in 109 0.17%
64 upp 109 0.17%
65 varit 108 0.17%
66 mej 108 0.17%
67 gång 107 0.17%
68 alla 106 0.17%
69 stod 106 0.17%
70 vid 102 0.16%
71 såg 100 0.16%
72 andra 100 0.16%
73 efter 99 0.16%
74 ingen 95 0.15%
75 gick 95 0.15%
76 sina 94 0.15%
77 mig 94 0.15%
78 medan 92 0.15%
79 blef 91 0.14%
80 dem 88 0.14%
81 här 87 0.14%
82 ty 87 0.14%
83 hur 85 0.13%
84 sitt 85 0.13%
85 bli 83 0.13%
86 mer 83 0.13%
87 se 82 0.13%
88 godt 81 0.13%
89 ska 80 0.13%
90 ord 80 0.13%
91 aldrig 79 0.13%
92 under 78 0.12%
93 väl 78 0.12%
94 komma 77 0.12%
95 hvilka 77 0.12%
96 mycket 77 0.12%
97 75 0.12%
98 ögon 75 0.12%
99 sej 74 0.12%
100 något 74 0.12%
101 nog 73 0.12%
102 la 73 0.12%
103 svarade 72 0.11%
104 göra 71 0.11%
105 Elin 70 0.11%
106 vet 70 0.11%
107 mot 70 0.11%
108 kommer 69 0.11%
109 visste 68 0.11%
110 man 68 0.11%
111 67 0.11%
112 igen 67 0.11%
113 Hedvig 65 0.1%
114 ho 65 0.1%
115 genom 64 0.1%
116 mera 64 0.1%
117 låg 64 0.1%
118 ur 62 0.1%
119 bara 62 0.1%
120 kommit 62 0.1%
121 gjorde 61 0.1%
122 hvar 61 0.1%
123 vi 61 0.1%
124 ni 61 0.1%
125 dej 60 0.1%
126 ögonen 60 0.1%
127 frågade 59 0.09%
128 någon 59 0.09%
129 lika 58 0.09%
130 va 58 0.09%
131 doktorn 57 0.09%
132 di 57 0.09%
133 fanns 57 0.09%
134 veta 57 0.09%
135 säga 56 0.09%
136 hvilket 56 0.09%
137 bort 56 0.09%
138 tänkte 55 0.09%
139 intet 55 0.09%
140 hela 55 0.09%
141 många 54 0.09%
142 lifvet 53 0.08%
143 annan 53 0.08%
144 ännu 53 0.08%
145 fått 52 0.08%
146 får 51 0.08%
147 tog 51 0.08%
148 fick 51 0.08%
149 går 50 0.08%
150 blifvit 50 0.08%
151 voro 50 0.08%
152 min 49 0.08%
153 detta 49 0.08%
154 Per 49 0.08%
155 både 48 0.08%
156 heller 48 0.08%
157 taga 48 0.08%
158 rent 48 0.08%
159 er 47 0.07%
160 samma 47 0.07%
161 stort 46 0.07%
162 hem 46 0.07%
163 hand 45 0.07%
164 sedan 45 0.07%
165 sett 44 0.07%
166 kände 44 0.07%
167 några 44 0.07%
168 ville 44 0.07%
169 hvarandra 44 0.07%
170 åt 43 0.07%
171 likt 43 0.07%
172 gör 43 0.07%
173 långt 43 0.07%
174 tyckte 42 0.07%
175 måste 41 0.06%
176 tro 41 0.06%
177 läkaren 41 0.06%
178 ute 41 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 Ledfyrar. Berättelse från västkusten by Wilma Lindhé

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.