| Rank in Wordlist | Word | Rank in Wordlist | Word |
|---|---|---|---|
| 1 | na | 26 | dulu |
| 2 | uuthemba | 27 | e |
| 3 | kehe | 28 | emanguluko |
| 4 | li | 29 | ko |
| 5 | nenge | 30 | komeho |
| 6 | wo | 31 | kutya |
| 7 | oku | 32 | ndyoka |
| 8 | Omuntu | 33 | nemanguluko |
| 9 | osho | 34 | okwa |
| 10 | ayehe | 35 | opo |
| 11 | po | 36 | oya |
| 12 | Uuna | 37 | oye |
| 13 | a | 38 | uuna |
| 14 | mpoka | 39 | Aantu |
| 15 | pamwe | 40 | Hamuntu |
| 16 | ta | 41 | Iye |
| 17 | thike | 42 | Iyopankalathano |
| 18 | ye | 43 | Iyuuthemba |
| 19 | yi | 44 | Jesus |
| 20 | kale | 45 | Oye |
| 21 | mo | 46 | edhina |
| 22 | sha | 47 | egulukila |
| 23 | shi | 48 | ewanawa |
| 24 | Elongo | 49 | ga |
| 25 | Iya | 50 | gontumba |
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