| Rank in Wordlist | Word | Rank in Wordlist | Word |
|---|---|---|---|
| 1 | an | 26 | dat |
| 2 | der | 27 | nach |
| 3 | de | 28 | en |
| 4 | ass | 29 | sinn |
| 5 | vun | 30 | mi |
| 6 | den | 31 | wi |
| 7 | di | 32 | awer |
| 8 | a | 33 | um |
| 9 | fir | 34 | mir |
| 10 | op | 35 | dem |
| 11 | eng | 36 | hunn |
| 12 | ze | 37 | De |
| 13 | och | 38 | bei |
| 14 | et | 39 | oder |
| 15 | net | 40 | war |
| 16 | mat | 41 | engem |
| 17 | am | 42 | eis |
| 18 | vum | 43 | aus |
| 19 | huet | 44 | si |
| 20 | e | 45 | vu |
| 21 | sech | 46 | un |
| 22 | ech | 47 | dass |
| 23 | een | 48 | Den |
| 24 | ginn | 49 | An |
| 25 | zu | 50 | Et |
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