PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 2,037 words searched).

  1. okane ireta n . %mov:"30622"_176600_178781 FAT · japanese_ishii/30622.cha, line 72 · Jun 3;06
  2. a, anna n ireta naa . %mov:"30622"_2461529_2463065 FAT · japanese_ishii/30622.cha, line 1035 · Jun 3;06
  3. nani ireta n ya,, sore . %mov:"30622"_2481434_2485395 FAT · japanese_ishii/30622.cha, line 1043 · Jun 3;06
  4. rego ireta . %mov:"30622"_2486993_2487819 FAT · japanese_ishii/30622.cha, line 1045 · Jun 3;06
  5. dare ga ireta n ya . %mov:"30622"_2541989_2553589 FAT · japanese_ishii/30622.cha, line 1062 · Jun 3;06
  1. CHIpooe@o [<] . %mov:"30622"_171836_173454
    CHImoo nakunatta . %mov:"30622"_173454_176600
    FAT*FAT: okane ireta n . %mov:"30622"_176600_178781
    CHIun . %mov:"30622"_178781_179712
    CHImoo nakunatta . %mov:"30622"_179712_181930
  2. CHIun . %mov:"30622"_2460014_2460466
    FATnani ga notteru no,, sore ? %mov:"30622"_2460466_2461529
    FAT*FAT: a, anna n ireta naa . %mov:"30622"_2461529_2463065
    FATtorehen wa . %mov:"30622"_2463065_2464108
    CHItoreru wa . %mov:"30622"_2464108_2465734
  3. FAThora, torehen yan . %mov:"30622"_2469862_2473012
    CHIwa ! %mov:"30622"_2473012_2481434
    FAT*FAT: nani ireta n ya,, sore . %mov:"30622"_2481434_2485395
    CHIrego . %mov:"30622"_2485395_2486993
    FATrego ireta . %mov:"30622"_2486993_2487819
  4. FATnani ireta n ya,, sore . %mov:"30622"_2481434_2485395
    CHIrego . %mov:"30622"_2485395_2486993
    FAT*FAT: rego ireta . %mov:"30622"_2486993_2487819
    FATsonna mon basu nosetara dame desu yo . %mov:"30622"_2487819_2494509
    CHItore # torehen . %mov:"30622"_2494509_2509452
  5. FATgeemu ya . %mov:"30622"_2536755_2537732
    FATdoo shitara toreru ka tte yuu geemu desu ne,, kore wa ? %mov:"30622"_2537732_2541989
    FAT*FAT: dare ga ireta n ya . %mov:"30622"_2541989_2553589
    CHIOneechan . %mov:"30622"_2553589_2555187
    FATmata Oneechan kaa ? %mov:"30622"_2555187_2556908

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_ishii2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30622.chaJun 3;6.222,037552.45

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. ireta5 · 100.0%