Literature analysis for language learners: Svensk försäkringsmatrikel 1930 by

Svensk försäkringsmatrikel 1930 by : Difficulty Assessment for Swedish Learners

How difficult is Svensk försäkringsmatrikel 1930 for Swedish learners? We have performed multiple tests on its full text (freely available here) of approximately 58,318, crunched all the numbers for you and present the results below.

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Difficulty Assessment Summary

We have estimated Svensk försäkringsmatrikel 1930 to have a difficulty score of 68. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 68% 68
Vocabulary Difficulty 96% 96
Grammatical Difficulty 41% 41

Vocabulary Difficulty: Breakdown

96%

Vocabulary difficulty: 96%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Swedish). It combines various measures of Svensk försäkringsmatrikel 1930'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 Svensk försäkringsmatrikel 1930:

Vocabulary difficulty breakdown for Svensk försäkringsmatrikel 1930: a test for Swedish top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Svensk försäkringsmatrikel 1930:

Measure Score
Measure Score
Number of words 58,318
Number of unique words 7,825
Number of recognized words for names/places/other entities 11,855
Number of very rare non-entity words 13,201
Number of sentences 13,532
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 7,668 words (where all the forms of the word are still counted as unique words) in Swedish to be able to read Svensk försäkringsmatrikel 1930 without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

41%

Grammatical difficulty: 41%

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 5
Coleman-Liau Index 7
Type/Token Ratio (TTR) 0.134178
Root type/Token Ratio (RTTR) 0.0000023008
Corrected type/Token Ratio (CTTR) 0.0000011504
MTLD Index 49
HDD Index 51
Yule's I Index 46
Lexical Diversity Index (MTLD + HD-D + Yule's I) 48

The type-token ratio (TTR) of Svensk försäkringsmatrikel 1930 is 0.134178. 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 7,825, while the number of words is 58,318, so the TTR is 7,825 / 58,318 = 0.134178. 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, 7,825 / (58,318 * 58,318) = 0.0000023008), while in CTTR, it is divided by a square of the number of words, multiplied twice 7,825 / 2 * (58,318 * 58,318) = 0.0000011504). 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 5, making it understandable for 5-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 48 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 41.

Other Information about Svensk försäkringsmatrikel 1930 by

We provide you a sample of the text below, however, the full text of the Svensk försäkringsmatrikel 1930 is also available free of charge on our website.

Sample of text:

Bankpraktik 05, korrespondent i grosshandelsbolag 06. Tjänsteman i Lifförsäkrings-AB Victoria 07—13, anskaffningschef i Livförsäkringsbolaget Balder sedan 13, suppleant för verkst. direktören där sedan 23. Medlem av föreningen 14. W ARFVINGE, ERIK Vilhelm, Med. Lic., Överläkare i Allmänna Pensionsförsäkringsbolaget, Stockholm. F. i Stockholm 3/s 84 av överläkare F. W. W—e o. Alma Strömbäck. Student 02, med. kand. 07, med. lic. 15. Underläkare vid olika sjukhus i Stockholm 14—20, medicinalrådsassistent o. praktiserande läkare sedan 20. ...

Top most frequently used words in Svensk försäkringsmatrikel 1930 by *

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 av 1,790 3.07%
2 AB 1,342 2.3%
3 sedan 1,004 1.72%
4 Stockholm 909 1.56%
5 Medlem 808 1.39%
6 föreningen 685 1.17%
7 för 643 1.1%
8 Tjänsteman 565 0.97%
9 Gift 481 0.82%
10 vid 442 0.76%
11 19 414 0.71%
12 18 388 0.67%
13 Barn 354 0.61%
14 20 353 0.61%
15 Försäkrings 351 0.6%
16 29 345 0.59%
17 Student 344 0.59%
18 24 322 0.55%
19 17 319 0.55%
20 28 298 0.51%
21 21 297 0.51%
22 16 292 0.5%
23 12 288 0.49%
24 23 279 0.48%
25 26 267 0.46%
26 25 266 0.46%
27 27 265 0.45%
28 15 256 0.44%
29 22 249 0.43%
30 där 239 0.41%
31 13 227 0.39%
32 14 220 0.38%
33 Göteborg 220 0.38%
34 11 208 0.36%
35 10 195 0.33%
36 Sv 193 0.33%
37 Lifförsäkrings 175 0.3%
38 ordf 167 0.29%
39 Brand 165 0.28%
40 09 165 0.28%
41 07 161 0.28%
42 fr 158 0.27%
43 08 158 0.27%
44 Direktör 155 0.27%
45 Försäkr 154 0.26%
46 30 153 0.26%
47 Svenska 140 0.24%
48 sällskapet 139 0.24%
49 04 137 0.23%
50 dess 137 0.23%
51 03 136 0.23%
52 05 135 0.23%
53 98 132 0.23%
54 Allmänna 132 0.23%
55 Anna 131 0.22%
56 Stockholms 128 0.22%
57 99 122 0.21%
58 02 121 0.21%
59 fil 119 0.2%
60 Carl 117 0.2%
61 00 115 0.2%
62 96 115 0.2%
63 chef 114 0.2%
64 Hansa 112 0.19%
65 verkst 111 0.19%
66 kand 110 0.19%
67 Svea 109 0.19%
68 Maria 109 0.19%
69 Lifförsäkr 108 0.19%
70 Styr.led 106 0.18%
71 01 105 0.18%
72 Avdelningschef 105 0.18%
73 Skandia 104 0.18%
74 06 101 0.17%
75 avgångsex 99 0.17%
76 led 99 0.17%
77 Thule 98 0.17%
78 92 97 0.17%
79 Gustaf 96 0.16%
80 94 90 0.15%
81 kamrer 88 0.15%
82 io 88 0.15%
83 dir 85 0.15%
84 93 84 0.14%
85 Uppsala 83 0.14%
86 97 82 0.14%
87 samt 77 0.13%
88 Johan 77 0.13%
89 styr 76 0.13%
90 91 73 0.13%
91 Sverige 71 0.12%
92 Lifförsäkringsbolaget 71 0.12%
93 Göteborgs 70 0.12%
94 Fylgia 69 0.12%
95 Anställd 69 0.12%
96 Co 67 0.11%
97 88 66 0.11%
98 95 66 0.11%
99 studier 65 0.11%
100 Tyskland 64 0.11%
101 89 62 0.11%
102 90 62 0.11%
103 Karl 62 0.11%
104 Erik 61 0.1%
105 och 61 0.1%
106 Inspektör 60 0.1%
107 som 60 0.1%
108 Handelsinstitut 59 0.1%
109 Försäkr:skr 59 0.1%
110 aktuarie 57 0.1%
111 o6 55 0.09%
112 med 55 0.09%
113 till 54 0.09%
114 86 54 0.09%
115 Sekr 53 0.09%
116 Brandstodsbolag 52 0.09%
117 lic 51 0.09%
118 Sveriges 51 0.09%
119 Karin 50 0.09%
120 Städernas 50 0.09%
121 83 48 0.08%
122 Livförsäkringsbolaget 46 0.08%
123 81 46 0.08%
124 Jur 46 0.08%
125 Nils 46 0.08%
126 på 45 0.08%
127 Brandinspektör 45 0.08%
128 87 45 0.08%
129 tf 44 0.08%
130 Malmö 44 0.08%
131 Brandförsäkrings 44 0.08%
132 84 43 0.07%
133 löjtnant 43 0.07%
134 Anders 43 0.07%
135 Ocean 42 0.07%
136 85 42 0.07%
137 Olof 42 0.07%
138 Axel 40 0.07%
139 föreningens 40 0.07%
140 Schartaus 40 0.07%
141 Stockholmskontor 40 0.07%
142 bolagets 40 0.07%
143 Freja 39 0.07%
144 studieresor 39 0.07%
145 England 39 0.07%
146 kapten 39 0.07%
147 Allm 39 0.07%
148 Per 39 0.07%
149 Försäkringsbolaget 39 0.07%
150 Ingrid 38 0.07%
151 Victoria 37 0.06%
152 De 37 0.06%
153 Vice 36 0.06%
154 dr 36 0.06%
155 Margareta 36 0.06%
156 82 36 0.06%
157 Andersson 36 0.06%
158 flertal 36 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 Svensk försäkringsmatrikel 1930 by

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.