PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 578 words searched).

  1. wanwan@o (to) chigau . %mov:"10804"_70273_70273 FAT · japanese_ishii/10804.cha, line 68 · Jun 1;08
  2. torakku (to) chigau,, kore . %mov:"10804"_132070_133339 FAT · japanese_ishii/10804.cha, line 117 · Jun 1;08
  1. japanese_ishii/10804.cha, line 68 · Jun, 1;8.04
    FATun, ommasan [: umna] ya naa . %mov:"10804"_66804_67824
    CHIwanwanka ? %mov:"10804"_67824_70273
    FAT*FAT: wanwan@o (to) chigau . %mov:"10804"_70273_70273
    CHIba [>] . %mov:"10804"_70931_71555
    FATchu [<] . %mov:"10804"_70931_71555
  2. japanese_ishii/10804.cha, line 117 · Jun, 1;8.04
    CHItaaku . %mov:"10804"_128873_128873
    CHItaaku . %mov:"10804"_130959_132070
    FAT*FAT: torakku (to) chigau,, kore . %mov:"10804"_132070_133339
    FATdensha . %mov:"10804"_133339_134230
    CHIka . %mov:"10804"_134230_137354

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_ishii3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10804.chaJun 1;8.04578223.46

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.

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