| Rank in Wordlist | Word | Rank in Wordlist | Word |
|---|---|---|---|
| 1 | li | 26 | lo |
| 2 | de | 27 | urbe |
| 3 | es | 28 | kun |
| 4 | in | 29 | esed |
| 5 | e | 30 | me |
| 6 | the | 31 | maxim |
| 7 | del | 32 | with |
| 8 | of | 33 | Soria |
| 9 | Li | 34 | fro |
| 10 | a | 35 | un |
| 11 | kel | 36 | ye |
| 12 | to | 37 | for |
| 13 | and | 38 | pove |
| 14 | is | 39 | In |
| 15 | ke | 40 | The |
| 16 | por | 41 | per |
| 17 | have | 42 | I |
| 18 | non | 43 | plu |
| 19 | as | 44 | from |
| 20 | ha | 45 | ma |
| 21 | o | 46 | sen |
| 22 | bli | 47 | tu |
| 23 | kom | 48 | anke |
| 24 | be | 49 | lingue |
| 25 | on | 50 | not |
The table shows the top-50 words of the corpus. Usually we see stopwords.
Language: Afrikaans
This list is a good candidate for a first stopword list for a language.
Usually a small, balanced corpus is enough to get a good list of high frequent words. But if the small corpus has some very prominent topic, this will be visible even in the top word lists.
select w_id-100 as rank_in_wordlist, word from words where w_id>100 order by w_id limit 50;
3.4 Sample words for different frequency ranges