PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

1.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,047 utterances, 2,853 words searched).

  1. un, sore reezooko ya [<] . %mov:"21006"_705948_705948 FAT · japanese_ishii/21006.cha, line 469 · Jun 2;10
  2. ookii reezooko ya . %mov:"21006"_709784_711224 FAT · japanese_ishii/21006.cha, line 470 · Jun 2;10
  3. konnaka [: koredake] reezooko ya . %mov:"21006"_712902_715495 FAT · japanese_ishii/21006.cha, line 473 · Jun 2;10
  4. reezooko ya . %mov:"21006"_722726_723548 FAT · japanese_ishii/21006.cha, line 478 · Jun 2;10
  5. zembu reezooko . %mov:"21006"_725305_726203 FAT · japanese_ishii/21006.cha, line 481 · Jun 2;10
  1. FATun . %mov:"21006"_705437_705948
    CHIkore nimotsu ippai nosete [>] +... %mov:"21006"_705948_705948
    FAT*FAT: un, sore reezooko ya [<] . %mov:"21006"_705948_705948
    FATookii reezooko ya . %mov:"21006"_709784_711224
    CHIdoko ? %mov:"21006"_711224_712366
  2. CHIkore nimotsu ippai nosete [>] +... %mov:"21006"_705948_705948
    FATun, sore reezooko ya [<] . %mov:"21006"_705948_705948
    FAT*FAT: ookii reezooko ya . %mov:"21006"_709784_711224
    CHIdoko ? %mov:"21006"_711224_712366
    FAThore . %mov:"21006"_712366_712902
  3. CHIdoko ? %mov:"21006"_711224_712366
    FAThore . %mov:"21006"_712366_712902
    FAT*FAT: konnaka [: koredake] reezooko ya . %mov:"21006"_712902_715495
    FATdoo shita n,, omeme . %mov:"21006"_715495_718227
    CHIitai no . %mov:"21006"_718227_720326
  4. FATitai no ? %mov:"21006"_720326_721392
    CHIkoko wa ? %mov:"21006"_721392_722726
    FAT*FAT: reezooko ya . %mov:"21006"_722726_723548
    CHIkoko wa ? %mov:"21006"_723548_723548
    FATkore mo . %mov:"21006"_723548_725305
  5. CHIkoko wa ? %mov:"21006"_723548_723548
    FATkore mo . %mov:"21006"_723548_725305
    FAT*FAT: zembu reezooko . %mov:"21006"_725305_726203
    CHIminna zeedooko [: reezooko] . %mov:"21006"_726203_728005
    FATuwaa ! %mov:"21006"_728005_728487

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_ishii1.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21006.chaJun 2;10.062,853551.75

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. reezooko5 · 100.0%