PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (193 utterances, 457 words searched).

  1. nani ga mieru ? %mov:"10021"_466260_468248 FAT · japanese_ishii/10021.cha, line 276 · Jun 1;00
  2. wanwan@o iru (no) (ga) mieru ? %mov:"10021"_504141_506948 FAT · japanese_ishii/10021.cha, line 296 · Jun 1;00
  1. japanese_ishii/10021.cha, line 276 · Jun, 1;0.21
    FATommo [: soto] (o) min [: miru] no ? %mov:"10021"_464549_465712
    FAThai . %mov:"10021"_465712_466260
    FAT*FAT: nani ga mieru ? %mov:"10021"_466260_468248
    FATOniichan (wa) inai desho . %mov:"10021"_468248_471051
    FATuun ? %mov:"10021"_471051_473294
  2. japanese_ishii/10021.cha, line 296 · Jun, 1;0.21
    FATa, asoko ni iru wa . %mov:"10021"_500687_502649
    FAThora . %mov:"10021"_502649_504141
    FAT*FAT: wanwan@o iru (no) (ga) mieru ? %mov:"10021"_504141_506948
    FATwanwan@o oideoide tte . %mov:"10021"_504141_506948
    CHIya . %mov:"10021"_509862_512603

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_ishii4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10021.chaJun 1;0.21457224.38

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. mieru2 · 100.0%