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. nani, sore (wa) . %mov:"10313"_39405_40543 FAT · japanese_ishii/10313.cha, line 36 · Jun 1;03
  2. Junkun, sore (o) hippattara dame . %mov:"10313"_508686_512645 FAT · japanese_ishii/10313.cha, line 282 · Jun 1;03
  1. japanese_ishii/10313.cha, line 36 · Jun, 1;03.13
    CHIoea ? %mov:"10313"_37674_38271
    FATaa ? %mov:"10313"_38271_39405
    FAT*FAT: nani, sore (wa) . %mov:"10313"_39405_40543
    FATyoisho . %mov:"10313"_40543_44317
    CHIbuu . %mov:"10313"_44317_44317
  2. japanese_ishii/10313.cha, line 282 · Jun, 1;03.13
    FATOniichan (ga) aa aa shita naa . %mov:"10313"_498444_503257
    FATpan@o yuuta naa . %mov:"10313"_503257_508686
    FAT*FAT: Junkun, sore (o) hippattara dame . %mov:"10313"_508686_512645
    FATJunkun ! %mov:"10313"_512645_518800
    FATa ! %mov:"10313"_518800_521757

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. sore2 · 100.0%