PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

1.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 2,037 words searched).

  1. kon [: kono] naka nani haitten no, tankuroorii ? %mov:"30622"_2010851_2012475 FAT · japanese_ishii/30622.cha, line 841 · Jun 3;06
  2. semento ga haitten ne . %mov:"30622"_2016537_2017894 FAT · japanese_ishii/30622.cha, line 846 · Jun 3;06
  3. semento wa haitten no . %mov:"30622"_2021344_2021985 FAT · japanese_ishii/30622.cha, line 849 · Jun 3;06
  4. kore nani ga haitten no ? %mov:"30622"_2436010_2437611 FAT · japanese_ishii/30622.cha, line 1021 · Jun 3;06
  1. japanese_ishii/30622.cha, line 841 · Jun, 3;6.22
    CHIouchi tsukuru yoo ni # tankuroorii ga # kita . %mov:"30622"_2005592_2010360
    FATun . %mov:"30622"_2010360_2010851
    FAT*FAT: kon [: kono] naka nani haitten no, tankuroorii ? %mov:"30622"_2010851_2012475
    CHIdoro . %mov:"30622"_2012475_2014255
    FATe ? %mov:"30622"_2014255_2015094
  2. japanese_ishii/30622.cha, line 846 · Jun, 3;6.22
    CHIdoro . %mov:"30622"_2015094_2015789
    FATdoro wa haittehen . %mov:"30622"_2015789_2016537
    FAT*FAT: semento ga haitten ne . %mov:"30622"_2016537_2017894
    FATsore de ouchi tsukuttari sun nya ro ? %mov:"30622"_2017894_2020481
    CHIun . %mov:"30622"_2020481_2021344
  3. japanese_ishii/30622.cha, line 849 · Jun, 3;6.22
    FATsore de ouchi tsukuttari sun nya ro ? %mov:"30622"_2017894_2020481
    CHIun . %mov:"30622"_2020481_2021344
    FAT*FAT: semento wa haitten no . %mov:"30622"_2021344_2021985
    FATdoro chigau de . %mov:"30622"_2021985_2022628
    CHIkiikiikiikii@o xxx . %mov:"30622"_2022628_2029972
  4. japanese_ishii/30622.cha, line 1021 · Jun, 3;6.22
    CHIkore wa keeki iran desu kaa ? %mov:"30622"_2428114_2432141
    CHIirimasu kaa ? %mov:"30622"_2432141_2436010
    FAT*FAT: kore nani ga haitten no ? %mov:"30622"_2436010_2437611
    CHIkeeki . %mov:"30622"_2437611_2438383
    FATkeeki chigau,, sore . %mov:"30622"_2438383_2439587

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_ishii1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30622.chaJun 3;6.222,037441.96

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. haitten4 · 100.0%