PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. kotchi oide . %mov:"20017"_24485_26265 FAT · japanese_ishii/20017.cha, line 26 · Jun 2;00
  2. kotchi yatta ka ne ? %mov:"20017"_393088_394205 FAT · japanese_ishii/20017.cha, line 260 · Jun 2;00
  3. yoshi # hai, kotchi muite . %mov:"20017"_652645_655310 FAT · japanese_ishii/20017.cha, line 403 · Jun 2;00
  4. yoisho, kotchi e koo suwatte . %mov:"20017"_811317_812804 FAT · japanese_ishii/20017.cha, line 502 · Jun 2;00
  5. n nna [: soredewa], moo kotchi yatto ko . %mov:"20017"_916961_918499 FAT · japanese_ishii/20017.cha, line 566 · Jun 2;00
  1. FAThai, oide . %mov:"20017"_18157_21994
    FATgohon miru ? %mov:"20017"_21994_24485
    FAT*FAT: kotchi oide . %mov:"20017"_24485_26265
    FATPapa toko oide . %mov:"20017"_26265_27021
    CHIoisho <oisho oisho bi> [>] . %mov:"20017"_27021_30879
  2. FATJunkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638
    FATdoko itta ka na, piipoopiipoo@o . %mov:"20017"_390638_393088
    FAT*FAT: kotchi yatta ka ne ? %mov:"20017"_393088_394205
    FATare ? %mov:"20017"_394205_395874
    FATpiipoopiipoo@o nai ka ? %mov:"20017"_395874_398790
  3. FATkowakunai yo . %mov:"20017"_647800_648859
    FATkowakunai yo . %mov:"20017"_648859_652645
    FAT*FAT: yoshi # hai, kotchi muite . %mov:"20017"_652645_655310
    FATyoshi ! %mov:"20017"_655310_655927
    CHIkowa . %mov:"20017"_655927_658399
  4. FAThai, kore shoo . %mov:"20017"_800117_801471
    FAThai, dashite kudasai . %mov:"20017"_801471_811317
    FAT*FAT: yoisho, kotchi e koo suwatte . %mov:"20017"_811317_812804
    FAThai . %mov:"20017"_812804_814297
    FATyoisho ! %mov:"20017"_814297_822641
  5. CHIkowa # kowai yoo . %mov:"20017"_913498_913498
    CHIkowaii . %mov:"20017"_915557_916961
    FAT*FAT: n nna [: soredewa], moo kotchi yatto ko . %mov:"20017"_916961_918499
    FAThai . %mov:"20017"_918499_920226
    FATkoide [: korede] ii ? %mov:"20017"_920226_921667

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935555.35

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. kotchi5 · 100.0%