Naturvetenskapliga kåserier. Tredje samlingen by Bengt Lidforss : Difficulty Assessment for Swedish Learners

How difficult is Naturvetenskapliga kåserier. Tredje samlingen for Swedish learners? We have performed multiple tests on its full text (freely available here) of approximately 35,128, crunched all the numbers for you and present the results below.

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Difficulty Assessment Summary

We have estimated Naturvetenskapliga kåserier. Tredje samlingen to have a difficulty score of 70. Here're its scores:

Measure Score
easy difficult (1 - 100)
Overall Difficulty 70% 70
Vocabulary Difficulty 80% 80
Grammatical Difficulty 60% 60

Vocabulary Difficulty: Breakdown

80%

Vocabulary difficulty: 80%

This score has been calculated based on frequency vocabulary (the top most frequently used words in Swedish). It combines various measures of Naturvetenskapliga kåserier. Tredje samlingen'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 Naturvetenskapliga kåserier. Tredje samlingen:

Vocabulary difficulty breakdown for Naturvetenskapliga kåserier. Tredje samlingen: a test for Swedish top frequency vocabulary

We have also calculated the following approximate data on the vocabulary in Naturvetenskapliga kåserier. Tredje samlingen:

Measure Score
Measure Score
Number of words 35,128
Number of unique words 8,041
Number of recognized words for names/places/other entities 580
Number of very rare non-entity words 2,257
Number of sentences 5,461
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 7,880 words (where all the forms of the word are still counted as unique words) in Swedish to be able to read Naturvetenskapliga kåserier. Tredje samlingen without a dictionary and fully understand it.

Grammatical Difficulty: Breakdown

60%

Grammatical difficulty: 60%

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) 0.228906
Root type/Token Ratio (RTTR) 0.00000651633
Corrected type/Token Ratio (CTTR) 0.00000325817
MTLD Index 69
HDD Index 67
Yule's I Index 77
Lexical Diversity Index (MTLD + HD-D + Yule's I) 71

The type-token ratio (TTR) of Naturvetenskapliga kåserier. Tredje samlingen is 0.228906. 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 8,041, while the number of words is 35,128, so the TTR is 8,041 / 35,128 = 0.228906. 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, 8,041 / (35,128 * 35,128) = 0.00000651633), while in CTTR, it is divided by a square of the number of words, multiplied twice 8,041 / 2 * (35,128 * 35,128) = 0.00000325817). 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 71 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 60.

Other Information about Naturvetenskapliga kåserier. Tredje samlingen by Bengt Lidforss

We provide you a sample of the text below, however, the full text of the Naturvetenskapliga kåserier. Tredje samlingen is also available free of charge on our website.

Sample of text:

Den sista värmeperioden — den för niotusen år sedan — sammanfaller alltså fullkomligt med den av d:r Andersson beräknade tiden för hasselns och ekens största utbredning i Sverge, liksom även Ekholms beräkningar ge vid handen, att sommarhalvåret vid den tiden varit omkring 2 grader varmare än nu. Sedan denna tid har emellertid jordaxelns vinkel mot ekliptikan ständigt ökats, vilket har förorsakat en oavbrutet fortgående sänkning av sommartemperaturen, och vad värre är, denna klimatförsämring kommer att ytterligare fortgå i 10,000 år. Därpå sker så en vändning till det bättre, och efter 30,000 år kunna vi hoppas att åter ha tillbaka det blida klimat, som rådde i vårt land den tiden stenåldersmänniskorna jagade sitt villebråd och hasseln ...

Top most frequently used words in Naturvetenskapliga kåserier. Tredje samlingen by Bengt Lidforss*

Position Word Repetitions Part of all words
Position Word Repetitions Part of all words
1 och 886 2.52%
2 att 854 2.43%
3 som 830 2.36%
4 en 696 1.98%
5 av 663 1.89%
6 den 594 1.69%
7 det 492 1.4%
8 de 435 1.24%
9 409 1.16%
10 med 382 1.09%
11 är 317 0.9%
12 till 310 0.88%
13 man 308 0.88%
14 ett 283 0.81%
15 för 282 0.8%
16 253 0.72%
17 sig 239 0.68%
18 har 180 0.51%
19 om 172 0.49%
20 dessa 154 0.44%
21 men 149 0.42%
22 hos 148 0.42%
23 även 129 0.37%
24 detta 128 0.36%
25 genom 125 0.36%
26 ej 122 0.35%
27 kunna 117 0.33%
28 denna 117 0.33%
29 äro 117 0.33%
30 eller 116 0.33%
31 från 112 0.32%
32 kan 106 0.3%
33 under 103 0.29%
34 sin 102 0.29%
35 andra 101 0.29%
36 vi 98 0.28%
37 än 96 0.27%
38 icke 88 0.25%
39 skulle 85 0.24%
40 efter 83 0.24%
41 ha 82 0.23%
42 vid 79 0.22%
43 utan 79 0.22%
44 fall 76 0.22%
45 endast 76 0.22%
46 vilka 75 0.21%
47 74 0.21%
48 mycket 71 0.2%
49 ju 64 0.18%
50 ex 64 0.18%
51 sedan 63 0.18%
52 emellertid 63 0.18%
53 levande 63 0.18%
54 nu 61 0.17%
55 samma 60 0.17%
56 vara 59 0.17%
57 där 57 0.16%
58 när 56 0.16%
59 vissa 54 0.15%
60 ännu 53 0.15%
61 sina 52 0.15%
62 allt 51 0.15%
63 mellan 51 0.15%
64 också 50 0.14%
65 alla 50 0.14%
66 ur 49 0.14%
67 däremot 48 0.14%
68 varit 48 0.14%
69 dess 47 0.13%
70 vad 47 0.13%
71 sätt 47 0.13%
72 över 46 0.13%
73 synes 45 0.13%
74 sådana 45 0.13%
75 gång 44 0.13%
76 in 44 0.13%
77 mot 44 0.13%
78 redan 44 0.13%
79 oss 43 0.12%
80 alltså 43 0.12%
81 dem 42 0.12%
82 våra 41 0.12%
83 vår 41 0.12%
84 del 40 0.11%
85 år 40 0.11%
86 stora 40 0.11%
87 bakterierna 40 0.11%
88 fullkomligt 39 0.11%
89 grund 38 0.11%
90 bakterier 38 0.11%
91 olika 38 0.11%
92 medan 37 0.11%
93 lika 37 0.11%
94 särskilt 36 0.1%
95 här 36 0.1%
96 äga 36 0.1%
97 dock 35 0.1%
98 tid 35 0.1%
99 han 35 0.1%
100 många 34 0.1%
101 numera 34 0.1%
102 någon 34 0.1%
103 senare 34 0.1%
104 måste 34 0.1%
105 sömnen 33 0.09%
106 var 33 0.09%
107 kunde 33 0.09%
108 ämnen 33 0.09%
109 göra 32 0.09%
110 blott 32 0.09%
111 inre 32 0.09%
112 vilken 31 0.09%
113 mindre 30 0.09%
114 liksom 30 0.09%
115 människan 30 0.09%
116 något 30 0.09%
117 annan 30 0.09%
118 djur 29 0.08%
119 varje 29 0.08%
120 omkring 29 0.08%
121 ut 28 0.08%
122 organismer 28 0.08%
123 nog 28 0.08%
124 högre 27 0.08%
125 dels 27 0.08%
126 gäller 27 0.08%
127 materie 26 0.07%
128 växterna 26 0.07%
129 grad 26 0.07%
130 ungefär 26 0.07%
131 ofta 26 0.07%
132 sådan 26 0.07%
133 viss 26 0.07%
134 åt 26 0.07%
135 några 26 0.07%
136 inom 25 0.07%
137 flera 25 0.07%
138 växter 25 0.07%
139 själva 25 0.07%
140 väl 25 0.07%
141 jorden 24 0.07%
142 proc 24 0.07%
143 sitt 24 0.07%
144 helt 24 0.07%
145 vilkas 24 0.07%
146 stånd 24 0.07%
147 hela 23 0.07%
148 vars 23 0.07%
149 tämligen 23 0.07%
150 deras 23 0.07%
151 mer 23 0.07%
152 två 23 0.07%
153 kommer 23 0.07%
154 form 23 0.07%
155 vårt 22 0.06%
156 bland 22 0.06%
157 honor 22 0.06%
158 slags 22 0.06%
159 små 22 0.06%
160 enligt 22 0.06%
161 hanar 22 0.06%
162 väsen 22 0.06%
163 uppfattning 22 0.06%
164 mera 22 0.06%
165 träd 22 0.06%
166 torde 22 0.06%
167 livet 22 0.06%
168 större 22 0.06%
169 långt 22 0.06%
170 yttre 21 0.06%
171 frågan 21 0.06%
172 fram 21 0.06%
173 annat 21 0.06%
174 livlös 21 0.06%
175 lätt 21 0.06%
176 klänget 21 0.06%
177 hade 21 0.06%
178 ägg 21 0.06%
179 förmågan 21 0.06%
180 vilket 20 0.06%
181 fallet 20 0.06%
182 kunnat 20 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 Naturvetenskapliga kåserier. Tredje samlingen by Bengt Lidforss

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.