PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. a, sore kurukurukuru@o +... %mov:"10000"_121663_124826 FAT · japanese_ishii/10000.cha, line 75 · Jun 1;00
  2. sore (wa) dame nano . %mov:"10000"_211989_213145 FAT · japanese_ishii/10000.cha, line 116 · Jun 1;00
  1. japanese_ishii/10000.cha, line 75 · Jun, 1;0.01
    FATdoko ya [: da] . %mov:"10000"_119223_119967
    FATkukuu@o mieten [: mieteiru] no ? %mov:"10000"_119967_121663
    FAT*FAT: a, sore kurukurukuru@o +... %mov:"10000"_121663_124826
    FATa, kore ka ? %mov:"10000"_124826_125416
    FATkore mushi ya [: da] . %mov:"10000"_125416_126290
  2. japanese_ishii/10000.cha, line 116 · Jun, 1;0.01
    FATchutchu@o yoo . %mov:"10000"_201853_206282
    FATwanwan@o yoo . %mov:"10000"_206282_207758
    FAT*FAT: sore (wa) dame nano . %mov:"10000"_211989_213145
    FATa, Oniichan ita . %mov:"10000"_213145_214029
    FATOniichan wa ? %mov:"10000"_214029_214697

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_ishii4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468224.27

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. sore2 · 100.0%