PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

17.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. dobaan@o te nani ? %mov:"20525"_607204_610225 FAT · japanese_ishii/20525.cha, line 322 · Jun 2;05
  2. kore [//] kore wa nani, Junkun ? %mov:"20525"_649410_649410 FAT · japanese_ishii/20525.cha, line 341 · Jun 2;05
  3. nani ? %mov:"20525"_679879_680557 FAT · japanese_ishii/20525.cha, line 359 · Jun 2;05
  4. nani [>] +... %mov:"20525"_992918_993778 FAT · japanese_ishii/20525.cha, line 484 · Jun 2;05
  5. nani miru no [>] . %mov:"20525"_993778_994538 FAT · japanese_ishii/20525.cha, line 486 · Jun 2;05
  6. nani mimasu ka ? %mov:"20525"_995574_997517 FAT · japanese_ishii/20525.cha, line 489 · Jun 2;05
  7. nani shiten no . %mov:"20525"_1072119_1075365 FAT · japanese_ishii/20525.cha, line 516 · Jun 2;05
  8. nani shiten no . %mov:"20525"_1077048_1078025 FAT · japanese_ishii/20525.cha, line 519 · Jun 2;05
  9. nani [<] +... %mov:"20525"_1086283_1088565 FAT · japanese_ishii/20525.cha, line 524 · Jun 2;05
  10. nani sagashiten no . %mov:"20525"_1088565_1089521 FAT · japanese_ishii/20525.cha, line 525 · Jun 2;05
  1. FATpiidon@o . %mov:"20525"_605812_607204
    CHIdobaa@o ! %mov:"20525"_607204_608451
    FAT*FAT: dobaan@o te nani ? %mov:"20525"_607204_610225
    CHIdon@o ! %mov:"20525"_610225_611652
    CHIxxx pii@o pipii@o . %mov:"20525"_611652_618055
  2. FATnan te kaitaaru (ka) yonde . %mov:"20525"_643546_644937
    CHIkore kaiteu [: kaiteru] wa . %mov:"20525"_644937_649410
    FAT*FAT: kore [//] kore wa nani, Junkun ? %mov:"20525"_649410_649410
    CHIMichiko [: Mother's name] . %mov:"20525"_650844_652578
    FATMichiko te dare ? %mov:"20525"_652578_655534
  3. FATe ? %mov:"20525"_678336_678336
    CHImitemi . %mov:"20525"_678880_679879
    FAT*FAT: nani ? %mov:"20525"_679879_680557
    CHIhore . %mov:"20525"_680557_681486
    FATkakushita . %mov:"20525"_681486_682511
  4. CHImiyo ka . %mov:"20525"_991264_992255
    FATmiyo ka . %mov:"20525"_992255_992918
    FAT*FAT: nani [>] +... %mov:"20525"_992918_993778
    CHImiyo ka [<] . %mov:"20525"_992918_993778
    FATnani miru no [>] . %mov:"20525"_993778_994538
  5. FATnani [>] +... %mov:"20525"_992918_993778
    CHImiyo ka [<] . %mov:"20525"_992918_993778
    FAT*FAT: nani miru no [>] . %mov:"20525"_993778_994538
    CHIxxx [<] . %mov:"20525"_993778_994538
    CHIn ? %mov:"20525"_994538_995574
  6. CHIxxx [<] . %mov:"20525"_993778_994538
    CHIn ? %mov:"20525"_994538_995574
    FAT*FAT: nani mimasu ka ? %mov:"20525"_995574_997517
    CHIpaiyaashu [?] . %mov:"20525"_997517_999673
    FATe ? %mov:"20525"_999673_1000065
  7. CHInai . %mov:"20525"_1059464_1060438
    FATatta ? %mov:"20525"_1060438_1072119
    FAT*FAT: nani shiten no . %mov:"20525"_1072119_1075365
    CHIn ? %mov:"20525"_1075365_1077048
    FATnani shiten no . %mov:"20525"_1077048_1078025
  8. FATnani shiten no . %mov:"20525"_1072119_1075365
    CHIn ? %mov:"20525"_1075365_1077048
    FAT*FAT: nani shiten no . %mov:"20525"_1077048_1078025
    CHInai . %mov:"20525"_1078025_1081900
    FATsagashiten no ? %mov:"20525"_1081900_1082669
  9. CHIsagashiten no,, mada . %mov:"20525"_1082669_1086283
    CHIxxx [>] nai yo . %mov:"20525"_1086283_1088565
    FAT*FAT: nani [<] +... %mov:"20525"_1086283_1088565
    FATnani sagashiten no . %mov:"20525"_1088565_1089521
    CHInai yo . %mov:"20525"_1089521_1090794
  10. CHIxxx [>] nai yo . %mov:"20525"_1086283_1088565
    FATnani [<] +... %mov:"20525"_1086283_1088565
    FAT*FAT: nani sagashiten no . %mov:"20525"_1088565_1089521
    CHInai yo . %mov:"20525"_1089521_1090794
    FATnai naa . %mov:"20525"_1090794_1091463

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_ishii17.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588101017.01

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. nani10 · 100.0%