PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (162 utterances, 358 words searched).

  1. pan@o yuuta naa . %mov:"10313"_503257_508686 FAT · japanese_ishii/10313.cha, line 281 · Jun 1;03
  2. pan@o yuu wa mata . %mov:"10313"_521757_524106 FAT · japanese_ishii/10313.cha, line 287 · Jun 1;03
  1. FATaa aa shita naa . %mov:"10313"_496206_498444
    FATOniichan (ga) aa aa shita naa . %mov:"10313"_498444_503257
    FAT*FAT: pan@o yuuta naa . %mov:"10313"_503257_508686
    FATJunkun, sore (o) hippattara dame . %mov:"10313"_508686_512645
    FATJunkun ! %mov:"10313"_512645_518800
  2. FATJunkun ! %mov:"10313"_512645_518800
    FATa ! %mov:"10313"_518800_521757
    FAT*FAT: pan@o yuu wa mata . %mov:"10313"_521757_524106
    FATwaa, ochiruochiruu . %mov:"10313"_524106_535661
    FATaitaa ! %mov:"10313"_535661_537772

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_ishii5.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10313.chaJun 1;03.13358225.59

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. pan2 · 100.0%