PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,057 words searched).

  1. un, joozu ni suru nee . %mov:"20002"_588989_591030 FAT · japanese_ishii/20002.cha, line 513 · Jun 2;00
  2. xxx batan@o suru yoo te ka ? %mov:"20002"_692104_693682 FAT · japanese_ishii/20002.cha, line 581 · Jun 2;00
  3. batan@o suru ? %mov:"20002"_697405_698579 FAT · japanese_ishii/20002.cha, line 586 · Jun 2;00
  4. un, bataan@o suru yo, abunai yo . %mov:"20002"_702107_704650 FAT · japanese_ishii/20002.cha, line 589 · Jun 2;00
  5. dore suru ? %mov:"20002"_846688_847281 FAT · japanese_ishii/20002.cha, line 674 · Jun 2;00
  1. FATkuchukuchu@o . %mov:"20002"_587685_588467
    CHIhora . %mov:"20002"_588467_588989
    FAT*FAT: un, joozu ni suru nee . %mov:"20002"_588989_591030
    CHIn ? %mov:"20002"_591030_591738
    FATJunkun mo joozu ? %mov:"20002"_591738_592777
  2. FATa, kokeru yo tte ka ? %mov:"20002"_689128_690402
    CHIn ? %mov:"20002"_690402_692104
    FAT*FAT: xxx batan@o suru yoo te ka ? %mov:"20002"_692104_693682
    CHIkoko mo . %mov:"20002"_693682_695442
    FATun . %mov:"20002"_695442_696152
  3. FATun . %mov:"20002"_695442_696152
    CHIbatan ya . %mov:"20002"_696152_697405
    FAT*FAT: batan@o suru ? %mov:"20002"_697405_698579
    CHIn ? %mov:"20002"_698579_699813
    CHIbataan ya . %mov:"20002"_699813_702107
  4. CHIn ? %mov:"20002"_698579_699813
    CHIbataan ya . %mov:"20002"_699813_702107
    FAT*FAT: un, bataan@o suru yo, abunai yo . %mov:"20002"_702107_704650
    CHImaiyoo . %mov:"20002"_704650_707331
    FATabunai yo . %mov:"20002"_707331_708415
  5. CHIhai [>] . %mov:"20002"_842185_846688
    FATsoo soo [<] . %mov:"20002"_842185_846688
    FAT*FAT: dore suru ? %mov:"20002"_846688_847281
    CHIjie . %mov:"20002"_847281_851092
    FATe ? %mov:"20002"_851092_851863

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_ishii4.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20002.chaJun 2;0.021,057554.73

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. suru5 · 100.0%