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. min [: miru] no ? %mov:"10021"_463678_464549 FAT · japanese_ishii/10021.cha, line 273 · Jun 1;00
  2. ommo [: soto] (o) min [: miru] no ? %mov:"10021"_464549_465712 FAT · japanese_ishii/10021.cha, line 274 · Jun 1;00
  1. CHIyiiyu . %mov:"10021"_461083_462117
    FATxxx koko kai na [: nano ka] . %mov:"10021"_462117_463678
    FAT*FAT: min [: miru] no ? %mov:"10021"_463678_464549
    FATommo [: soto] (o) min [: miru] no ? %mov:"10021"_464549_465712
    FAThai . %mov:"10021"_465712_466260
  2. FATxxx koko kai na [: nano ka] . %mov:"10021"_462117_463678
    FATmin [: miru] no ? %mov:"10021"_463678_464549
    FAT*FAT: ommo [: soto] (o) min [: miru] no ? %mov:"10021"_464549_465712
    FAThai . %mov:"10021"_465712_466260
    FATnani ga mieru ? %mov:"10021"_466260_468248

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. min2 · 100.0%