PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 1,710 words searched).

  1. gohon miyoo ya, kyoo wa # ippen . %mov:"30509"_25679_28276 FAT · japanese_ishii/30509.cha, line 29 · Jun 3;05
  2. ippen miyoo ya . %mov:"30509"_31074_33691 FAT · japanese_ishii/30509.cha, line 31 · Jun 3;05
  3. sore miyoo . %mov:"30509"_948024_949245 FAT · japanese_ishii/30509.cha, line 531 · Jun 3;05
  4. miyoo sa . %mov:"30509"_953627_955429 FAT · japanese_ishii/30509.cha, line 535 · Jun 3;05
  5. miyoo yo . %mov:"30509"_1746452_1747408 FAT · japanese_ishii/30509.cha, line 973 · Jun 3;05
  1. FATchuusha ni iku jidoosha ? %mov:"30509"_24138_25226
    CHIun . %mov:"30509"_25226_25679
    FAT*FAT: gohon miyoo ya, kyoo wa # ippen . %mov:"30509"_25679_28276
    FATnagaikoto [: nagai aida] gohon mitenai yan . %mov:"30509"_28276_31074
    FATippen miyoo ya . %mov:"30509"_31074_33691
  2. FATgohon miyoo ya, kyoo wa # ippen . %mov:"30509"_25679_28276
    FATnagaikoto [: nagai aida] gohon mitenai yan . %mov:"30509"_28276_31074
    FAT*FAT: ippen miyoo ya . %mov:"30509"_31074_33691
    CHIxxx . %mov:"30509"_33691_38555
    CHIkore oha # ohanashi . %mov:"30509"_38555_90635
  3. FATsore to chigau na . %mov:"30509"_944163_945823
    FATsore de ii yan . %mov:"30509"_945823_948024
    FAT*FAT: sore miyoo . %mov:"30509"_948024_949245
    CHImiyoo sa,, kore . %mov:"30509"_949245_952016
    FATun [>] . %mov:"30509"_952016_953627
  4. FATun [>] . %mov:"30509"_952016_953627
    CHIkore [<] to kore miyoo sa . %mov:"30509"_952016_953627
    FAT*FAT: miyoo sa . %mov:"30509"_953627_955429
    CHIdotchi saki . %mov:"30509"_955429_957684
    FATsaki dotchi ya . %mov:"30509"_957684_958918
  5. FATmoo miihin nya kara . %mov:"30509"_1744940_1745896
    CHIun . %mov:"30509"_1745896_1746452
    FAT*FAT: miyoo yo . %mov:"30509"_1746452_1747408
    CHIiya . %mov:"30509"_1747408_1748284
    CHIshindoi mon . %mov:"30509"_1748284_1751052

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_ishii2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30509.chaJun 3;05.091,710552.92

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. miyoo5 · 100.0%