PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.24 per 1,000 words of the child (CHI), in 1 of 1 transcripts (414 utterances, 893 words searched).

  1. kootte bonbonbon@o iku no . %mov:"20424"_1388360_1391720 CHI · japanese_ishii/20424.cha, line 788 · Jun 2;04
  2. kotte bonbonbon@o iku no yo . %mov:"20424"_1393117_1395576 CHI · japanese_ishii/20424.cha, line 790 · Jun 2;04
  1. CHIgarasu ga . %mov:"20424"_1385892_1387132
    FATgarasu ga abunai no . %mov:"20424"_1387132_1388360
    CHI*CHI: kootte bonbonbon@o iku no . %mov:"20424"_1388360_1391720
    FATsonna shitara garasu ga wareru wa . %mov:"20424"_1391720_1393117
    CHIkotte bonbonbon@o iku no yo . %mov:"20424"_1393117_1395576
  2. CHIkootte bonbonbon@o iku no . %mov:"20424"_1388360_1391720
    FATsonna shitara garasu ga wareru wa . %mov:"20424"_1391720_1393117
    CHI*CHI: kotte bonbonbon@o iku no yo . %mov:"20424"_1393117_1395576
    FATakan yo . %mov:"20424"_1395576_1396255
    FATjidoosha noseru torakku doko itta ? %mov:"20424"_1396255_1400040

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_ishii2.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20424.chaJun 2;4.24893222.24

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. bonbonbon2 · 100.0%