| Rank in Wordlist | Word | Rank in Wordlist | Word |
|---|---|---|---|
| 1 | da | 26 | nije |
| 2 | je | 27 | koje |
| 3 | u | 28 | Beograd |
| 4 | i | 29 | ali |
| 5 | na | 30 | biti |
| 6 | se | 31 | koja |
| 7 | za | 32 | godine |
| 8 | su | 33 | kaže |
| 9 | od | 34 | B92 |
| 10 | će | 35 | zbog |
| 11 | sa | 36 | po |
| 12 | o | 37 | Kosova |
| 13 | koji | 38 | više |
| 14 | bi | 39 | s |
| 15 | ne | 40 | još |
| 16 | iz | 41 | piše |
| 17 | što | 42 | sve |
| 18 | a | 43 | EU |
| 19 | to | 44 | protiv |
| 20 | U | 45 | predsednik |
| 21 | rekao | 46 | bude |
| 22 | Srbije | 47 | oko |
| 23 | kako | 48 | posle |
| 24 | do | 49 | pre |
| 25 | kao | 50 | kada |
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