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. kore mo ookii yo . %mov:"20017"_104867_107676 FAT · japanese_ishii/20017.cha, line 80 · Jun 2;00
  2. Jun mo shoo ka ? %mov:"20017"_177826_178651 FAT · japanese_ishii/20017.cha, line 126 · Jun 2;00
  3. koko ni mo aru wa, hora, mikisaa . %mov:"20017"_273323_274711 FAT · japanese_ishii/20017.cha, line 188 · Jun 2;00
  4. sore mo Jun . %mov:"20017"_371164_372303 FAT · japanese_ishii/20017.cha, line 248 · Jun 2;00
  5. Jun mo . %mov:"20017"_1085832_1086352 FAT · japanese_ishii/20017.cha, line 648 · Jun 2;00
  1. CHIaye [: are] . %mov:"20017"_102115_103861
    FATkore ookii ? %mov:"20017"_103861_104867
    FAT*FAT: kore mo ookii yo . %mov:"20017"_104867_107676
    FATnee ? %mov:"20017"_107676_110068
    CHIookii <yo> [>] . %mov:"20017"_110068_111874
  2. FATsampatsu shiten no ? %mov:"20017"_175413_176460
    FATchokinchokinchokinchokin@o . %mov:"20017"_176460_177826
    FAT*FAT: Jun mo shoo ka ? %mov:"20017"_177826_178651
    FATchokinchokin@o . %mov:"20017"_178651_180367
    CHImoo ii . %mov:"20017"_180367_182073
  3. CHIuun teru <wa> [>] . %mov:"20017"_270568_273323
    FATsoo ya [<] . %mov:"20017"_270568_273323
    FAT*FAT: koko ni mo aru wa, hora, mikisaa . %mov:"20017"_273323_274711
    FATuun@o . %mov:"20017"_274711_275618
    FAThora, issho ya ro ? %mov:"20017"_275618_276694
  4. FATuun ? %mov:"20017"_367931_370025
    CHIae Jun . %mov:"20017"_370025_371164
    FAT*FAT: sore mo Jun . %mov:"20017"_371164_372303
    CHIae Jun . %mov:"20017"_372303_373856
    FATuun . %mov:"20017"_373856_374801
  5. FAThai, Papa kore, hai . %mov:"20017"_1080961_1082602
    CHIhai # Jun mo . %mov:"20017"_1082602_1085832
    FAT*FAT: Jun mo . %mov:"20017"_1085832_1086352
    FAToishii nee . %mov:"20017"_1086352_1091364
    FATkondo kore shoo ka . %mov:"20017"_1091364_1093587

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. mo5 · 100.0%