PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. gohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972 FAT · japanese_ishii/20017.cha, line 166 · Jun 2;00
  2. sonna n [: no] dame ya zo . %mov:"20017"_866803_870139 FAT · japanese_ishii/20017.cha, line 529 · Jun 2;00
  1. japanese_ishii/20017.cha, line 166 · Jun, 2;0.17
    FATJun ga kaita n ? %mov:"20017"_226228_229304
    FATn ? %mov:"20017"_229304_231973
    FAT*FAT: gohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972
    CHImee . %mov:"20017"_234972_235598
    FATmee ! %mov:"20017"_235598_237186
  2. japanese_ishii/20017.cha, line 529 · Jun, 2;0.17
    FATachii yo . %mov:"20017"_863261_864058
    FATatsui yo . %mov:"20017"_864058_866803
    FAT*FAT: sonna n [: no] dame ya zo . %mov:"20017"_866803_870139
    CHIxxx ya . %mov:"20017"_870139_871523
    FATkoko irete yo . %mov:"20017"_871523_874005

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_ishii2.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935222.14

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. dame2 · 100.0%