| Rank in Wordlist | Word | Rank in Wordlist | Word |
|---|---|---|---|
| 1 | blong | 26 | nara |
| 2 | long | 27 | tu |
| 3 | ol | 28 | wan |
| 4 | i | 29 | Emalus |
| 5 | mo | 30 | gat |
| 6 | oli | 31 | kam |
| 7 | we | 32 | o |
| 8 | mekem | 33 | se |
| 9 | Loa | 34 | stadi |
| 10 | Skul | 35 | woman |
| 11 | hem | 36 | 12 |
| 12 | loa | 37 | Vanuatu |
| 13 | stap | 38 | be |
| 14 | studen | 39 | digri |
| 15 | nomo | 40 | evri |
| 16 | tijim | 41 | helpem |
| 17 | Pasifik | 42 | insaed |
| 18 | defren | 43 | minim |
| 19 | ia | 44 | olgeta |
| 20 | kaontri | 45 | olsem |
| 21 | sam | 46 | pablik |
| 22 | wok | 47 | program |
| 23 | Kampus | 48 | saed |
| 24 | USP | 49 | sevis |
| 25 | kos | 50 | yunivesiti |
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