PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. Papa doko ni in [: iru] no ? %mov:"20023"_153301_154141 FAT · japanese_ishii/20023.cha, line 117 · Jun 2;00
  2. gohon doko ni in [: aru] no,, Papa ? %mov:"20023"_156408_157846 FAT · japanese_ishii/20023.cha, line 121 · Jun 2;00
  1. japanese_ishii/20023.cha, line 117 · Jun, 2;0.23
    FATPapa wa ? %mov:"20023"_151998_152563
    CHIn ? %mov:"20023"_152563_153301
    FAT*FAT: Papa doko ni in [: iru] no ? %mov:"20023"_153301_154141
    CHIkoko ya . %mov:"20023"_154141_154945
    FATinai yan . %mov:"20023"_154945_155574
  2. japanese_ishii/20023.cha, line 121 · Jun, 2;0.23
    FATinai yan . %mov:"20023"_154945_155574
    FATkoko ni inai yan . %mov:"20023"_155574_156408
    FAT*FAT: gohon doko ni in [: aru] no,, Papa ? %mov:"20023"_156408_157846
    FATnai no ? %mov:"20023"_157846_160313
    CHIbabaai . %mov:"20023"_160313_162481

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_ishii2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900222.22

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. in2 · 100.0%