PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. mata kowasu naa ? %mov:"20525"_689608_696828 FAT · japanese_ishii/20525.cha, line 365 · Jun 2;05
  2. mata Jun ya . %mov:"20525"_954426_956300 FAT · japanese_ishii/20525.cha, line 465 · Jun 2;05
  1. japanese_ishii/20525.cha, line 365 · Jun, 2;5.25
    FATe ? %mov:"20525"_684590_686088
    CHItorakku no taiya kowa +... %mov:"20525"_686088_689608
    FAT*FAT: mata kowasu naa ? %mov:"20525"_689608_696828
    FATtorenai wa . %mov:"20525"_696828_702357
    FATa ! %mov:"20525"_702357_704079
  2. japanese_ishii/20525.cha, line 465 · Jun, 2;5.25
    CHIkonna natta . %mov:"20525"_951696_953822
    FATdare ya . %mov:"20525"_953822_954426
    FAT*FAT: mata Jun ya . %mov:"20525"_954426_956300
    FATaa a ! %mov:"20525"_956300_961009
    FATkashitegoran . %mov:"20525"_961009_963911

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_ishii3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588223.40

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. mata2 · 100.0%