PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 874 words searched).

  1. kikansha atta ne,, konnan ? %mov:"20323"_1065333_1067536 FAT · japanese_ishii/20323.cha, line 553 · Jun 2;03
  2. konnan atta ne ? %mov:"20323"_1074956_1075764 FAT · japanese_ishii/20323.cha, line 559 · Jun 2;03
  3. bachabacha@o shite konnan # konna ukiwa shita ne, Junkun ? %mov:"20323"_1509689_1514983 FAT · japanese_ishii/20323.cha, line 794 · Jun 2;03
  4. bachabacha@o shita ne,, konnan notte? %mov:"20323"_1514983_1517227 FAT · japanese_ishii/20323.cha, line 795 · Jun 2;03
  1. japanese_ishii/20323.cha, line 553 · Jun, 2;3.23
    FATa [<] ! %mov:"20323"_1061454_1064461
    FAThonto da . %mov:"20323"_1064461_1065333
    FAT*FAT: kikansha atta ne,, konnan ? %mov:"20323"_1065333_1067536
    FATJunkun, atta ne ? %mov:"20323"_1067536_1069790
    FATkon [: kono] naka notta ne,, kon naka ? %mov:"20323"_1069790_1071600
  2. japanese_ishii/20323.cha, line 559 · Jun, 2;3.23
    FATkon naka haitta ne [<] ? %mov:"20323"_1071600_1073274
    CHIn ? %mov:"20323"_1073274_1074956
    FAT*FAT: konnan atta ne ? %mov:"20323"_1074956_1075764
    FATkooen ni atta ne ? %mov:"20323"_1075764_1075764
    CHIkonno . %mov:"20323"_1077252_1078921
  3. japanese_ishii/20323.cha, line 794 · Jun, 2;3.23
    FATiya ka ? %mov:"20323"_1508337_1508893
    CHIiya no . %mov:"20323"_1508893_1509689
    FAT*FAT: bachabacha@o shite konnan # konna ukiwa shita ne, Junkun ? %mov:"20323"_1509689_1514983
    FATbachabacha@o shita ne,, konnan notte? %mov:"20323"_1514983_1517227
    FATn ? %mov:"20323"_1517227_1519587
  4. japanese_ishii/20323.cha, line 795 · Jun, 2;3.23
    CHIiya no . %mov:"20323"_1508893_1509689
    FATbachabacha@o shite konnan # konna ukiwa shita ne, Junkun ? %mov:"20323"_1509689_1514983
    FAT*FAT: bachabacha@o shita ne,, konnan notte? %mov:"20323"_1514983_1517227
    FATn ? %mov:"20323"_1517227_1519587
    CHIkonate konnan notta . %mov:"20323"_1519587_1523080

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_ishii4.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20323.chaJun 2;3.23874444.58

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. konnan4 · 100.0%