Length | Sentence |
---|---|
15 | Ora entuk gawe. |
16 | Embuh perlu apa. |
16 | “Ah…., ora bisa. |
17 | Ana sing ngayomi. |
17 | Namun saya rasa.. |
17 | Panjang 12, 7 cm. |
18 | S. Nuh (71) : 16). |
18 | S. Al Ahzab : 21). |
18 | Note : 4 servings. |
19 | Jimerto 25 - 27 Lt. |
Length | Sentence |
---|---|
20 | Kanthi cara apa wae! |
21 | Upamane wae manungsa! |
24 | Hayo kabeh padha matura! |
31 | Uday : “Ya penggaweyan apa wae! |
36 | Saiki papan pakiwan iki dirusak wae! |
36 | Streak 7 kill tanpa mati - Whooho..! |
36 | Streak 4 kill tanpa mati - Hmmmm,,,! |
37 | Streak 4 kill tanpa mati - WOLES HAA! |
38 | Streak 5 kill tanpa mati - Ada lagiii! |
39 | Sekolah Musik dan Seni Rupa siswa bisa! |
Length | Sentence |
---|---|
21 | Jadi, mau pilih mana? |
25 | Apa perlu saya scan juga? |
27 | “Arep mbok gawe apa ta Put? |
28 | 9. Apa tipe utama blog anda? |
32 | Cita-cita kamu mau jadi apa sih? |
32 | Dhuh, apa sing tak tindakna iki? |
32 | “Yen iya banjur kowe arep ngapa? |
33 | Kalian sudah kasih apa ke rakyat? |
34 | Apa sebabe kok bisa kaya mengkono? |
34 | B : Kamu kan cuma mau sok tau kan? |
Here we see the absolutely shortest sentences in the corpus. In three tables we find declarative, exclamatory and interrogative sentences.
The sentences give some insight into the language or the corpus. Moreover, in the case of malformed sentences they may give hints for better preprocessing.
We find only sentences which were accepted by the preprocessing. For language detection, usually a minimum number of known words is necessary. Because of this, some very short sentences may be missing in the corpus.
select char_length(sentence) as le, sentence from sentences where sentence like "%!" and 40>length(sentence) order by le limit 15;
4.1.2 Sentences of fixed length I
4.1.3 Sentences of fixed length II
4.1.4 Sentences of fixed length III
4.1.5 Longest sentences