PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (397 utterances, 994 words searched).

  1. Junkun mo daboon@o shita ka ? %mov:"20212"_89858_92716 FAT · japanese_ishii/20212.cha, line 82 · Jun 2;02
  2. Junkun koo shiteta desho ? %mov:"20212"_809979_811593 FAT · japanese_ishii/20212.cha, line 481 · Jun 2;02
  3. sonna toko dame ya, Junkun . %mov:"20212"_1427364_1430100 FAT · japanese_ishii/20212.cha, line 800 · Jun 2;02
  4. hai, buubuu@o mottekita, Junkun . %mov:"20212"_1461721_1465060 FAT · japanese_ishii/20212.cha, line 821 · Jun 2;02
  5. Junkun . %mov:"20212"_1525036_1529517 FAT · japanese_ishii/20212.cha, line 850 · Jun 2;02
  1. FATmizu daboon@o ka . %mov:"20212"_87083_88058
    FAThonto . %mov:"20212"_88058_89858
    FAT*FAT: Junkun mo daboon@o shita ka ? %mov:"20212"_89858_92716
    CHIdaboon . %mov:"20212"_92716_93968
    FATshita ? %mov:"20212"_93968_94987
  2. FATkoo nan nya,, koo . %mov:"20212"_802367_806703
    FATne ? %mov:"20212"_806703_809979
    FAT*FAT: Junkun koo shiteta desho ? %mov:"20212"_809979_811593
    FATkore ga hantai ya . %mov:"20212"_811593_812708
    FATkoo sun nya, na ? %mov:"20212"_812708_813875
  3. CHIwaa # xxx . %mov:"20212"_1415675_1425660
    CHIxxx . %mov:"20212"_1425660_1427364
    FAT*FAT: sonna toko dame ya, Junkun . %mov:"20212"_1427364_1430100
    FATsonna toko dame ya . %mov:"20212"_1430100_1430100
    CHIkoko ? %mov:"20212"_1432739_1436882
  4. FATmoo soko wa shimetara dame . %mov:"20212"_1459251_1460822
    FATsoo shitoite . %mov:"20212"_1460822_1461721
    FAT*FAT: hai, buubuu@o mottekita, Junkun . %mov:"20212"_1461721_1465060
    FATkurai yo . %mov:"20212"_1465060_1483940
    CHIn ? %mov:"20212"_1483940_1484739
  5. CHIa, meme . %mov:"20212"_1521487_1522664
    FATun, puchin@o shitoite,, meme kuru kara . %mov:"20212"_1522664_1525036
    FAT*FAT: Junkun . %mov:"20212"_1525036_1529517
    FATwakatta no ? %mov:"20212"_1529517_1532596
    FATJun, kikoeta no ? %mov:"20212"_1532596_1536970

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_ishii5.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20212.chaJun 2;2.12994555.03

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. junkun5 · 100.0%