| Number | Frequency |
|---|---|
| 30.000 | 17 |
| 100.000 | 11 |
| 200.000 | 11 |
| 3.000 | 11 |
| 10.000 | 10 |
| 2.0 | 7 |
| 2.000 | 7 |
| 40.000 | 7 |
| 1.000 | 6 |
| 1.5 | 6 |
| Number | Frequency |
|---|---|
| 1,5 | 11 |
| 1,7 | 7 |
| 1,3 | 5 |
| 2,5 | 5 |
| 8,5 | 5 |
| 0,5 | 4 |
| 1,8 | 4 |
| 1,9 | 4 |
| 4,75 | 4 |
| 5,25 | 4 |
| Number | Frequency |
|---|---|
| 2-0 | 9 |
| 1-0 | 7 |
| 2-1 | 7 |
| 3-0 | 7 |
| 1-1 | 6 |
| 3-2 | 6 |
| 1-2 | 5 |
| 0-0 | 4 |
| 2-3 | 4 |
| 30-4 | 4 |
| Number | Frequency |
|---|---|
| 18:30 | 1 |
| 18:45 | 1 |
| 6:15 | 1 |
| 6:16 | 1 |
| 8:30 | 1 |
| 9:15 | 1 |
| 9:30 | 1 |
This subsection is very similar to the previous one, here we present the frequencies for some patterns consisting of numbers and a delimiter. Depending on the writing conventions of the given language we find decimal numbers, ranges, scorings etc.
We can find out different types of numbers containing delimiters. If the usage is obvious, we understand the writing conventions.
As in the above sections, we can estimate technicality of the corpus.
The different patterns may have very different frequencies. Hence, for some patterns we need medium to large corpora.
select word, freq from words where word regexp "^[0-9]+[.][0-9]+$" limit 10;
select word, freq from words where word regexp "^[0-9]+[,][0-9]+$" limit 10;
etc.
It is not clear whether the set of patterns is complete. For some languages, more patterns should be added.
3.3.2.1: Frequency of numbers of special patterns II: Cardinal numbers