PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.86 per 1,000 words of the child (CHI), in 1 of 1 transcripts (665 utterances, 1,751 words searched).

  1. yuki o doken [: nokeru] no . %mov:"30509"_450386_452343 CHI · japanese_ishii/30509.cha, line 260 · Jun 3;05
  2. kore ga pu@o tto doken no . %mov:"30509"_1058289_1061497 CHI · japanese_ishii/30509.cha, line 595 · Jun 3;05
  3. yuki o doken no . %mov:"30509"_1082974_1086021 CHI · japanese_ishii/30509.cha, line 610 · Jun 3;05
  4. doken no . %mov:"30509"_1086021_1086805 CHI · japanese_ishii/30509.cha, line 611 · Jun 3;05
  5. doken no . %mov:"30509"_1086805_1087473 CHI · japanese_ishii/30509.cha, line 612 · Jun 3;05
  1. CHIissho ya,, kore to . %mov:"30509"_447535_449623
    FATun . %mov:"30509"_449623_450386
    CHI*CHI: yuki o doken [: nokeru] no . %mov:"30509"_450386_452343
    FATsoo, yuki o nokeru no . %mov:"30509"_452343_453389
    CHIkore wa # kurii@o koko e [>] +... %mov:"30509"_453389_456532
  2. FATun . %mov:"30509"_1056400_1056896
    FATkore ga yuki ya . %mov:"30509"_1056896_1058289
    CHI*CHI: kore ga pu@o tto doken no . %mov:"30509"_1058289_1061497
    FATun . %mov:"30509"_1061497_1061940
    CHIjidoosha ni too [//] tooru yoo ni . %mov:"30509"_1061940_1065034
  3. FATsoo ka ? %mov:"30509"_1081695_1082340
    CHIun . %mov:"30509"_1082340_1082974
    CHI*CHI: yuki o doken no . %mov:"30509"_1082974_1086021
    CHIdoken no . %mov:"30509"_1086021_1086805
    CHIdoken no . %mov:"30509"_1086805_1087473
  4. CHIun . %mov:"30509"_1082340_1082974
    CHIyuki o doken no . %mov:"30509"_1082974_1086021
    CHI*CHI: doken no . %mov:"30509"_1086021_1086805
    CHIdoken no . %mov:"30509"_1086805_1087473
    FATun . %mov:"30509"_1087473_1088008
  5. CHIyuki o doken no . %mov:"30509"_1082974_1086021
    CHIdoken no . %mov:"30509"_1086021_1086805
    CHI*CHI: doken no . %mov:"30509"_1086805_1087473
    FATun . %mov:"30509"_1087473_1088008
    CHIkono taiya no atarashii no # kaete ? %mov:"30509"_1088008_1092433

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_ishii2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30509.chaJun 3;05.091,751552.86

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. doken5 · 100.0%