PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (183 utterances, 497 words searched).

  1. waa ! %mov:"10011"_84582_88377 FAT · japanese_ishii/10011.cha, line 70 · Jun 1;00
  2. kono buubuu@o waa, Junkun ? %mov:"10011"_289770_292666 FAT · japanese_ishii/10011.cha, line 159 · Jun 1;00
  1. japanese_ishii/10011.cha, line 70 · Jun, 1;0.11
    CHIyei . %mov:"10011"_81378_83000
    FATa, joozu ya [: da] nee . %mov:"10011"_83000_84582
    FAT*FAT: waa ! %mov:"10011"_84582_88377
    CHIyeyiyeiyei ! %mov:"10011"_88377_92995
    CHIaayie . %mov:"10011"_92995_94958
  2. japanese_ishii/10011.cha, line 159 · Jun, 1;0.11
    FAThai, oide . %mov:"10011"_278839_280215
    FATJunkun yo . %mov:"10011"_280215_282201
    FAT*FAT: kono buubuu@o waa, Junkun ? %mov:"10011"_289770_292666
    FATJunkun ! %mov:"10011"_292666_295425
    FATkono buubuu@o wa ? %mov:"10011"_295425_298768

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_ishii4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10011.chaJun 1;0.11497224.02

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. waa2 · 100.0%