PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (252 utterances, 586 words searched).

  1. nennee (o) shiteru, hore . %mov:"10405"_480315_481257 FAT · japanese_ishii/10405.cha, line 380 · Jun 1;04
  2. nyannyan@o (ga) nenne shiteru wa . %mov:"10405"_682346_683752 FAT · japanese_ishii/10405.cha, line 526 · Jun 1;04
  1. CHIaawa . %mov:"10405"_477722_479212
    CHIwanwan . %mov:"10405"_479212_480315
    FAT*FAT: nennee (o) shiteru, hore . %mov:"10405"_480315_481257
    FATnynako nennee ya [: da] . %mov:"10405"_481257_482752
    CHIa wanwan . %mov:"10405"_482752_484854
  2. CHIwaa [>] . %mov:"10405"_680893_682346
    FAT<nya> [<] nyannyan@o . %mov:"10405"_680893_682346
    FAT*FAT: nyannyan@o (ga) nenne shiteru wa . %mov:"10405"_682346_683752
    FATokaasan ya [: da] . %mov:"10405"_683752_685446
    FAThora . %mov:"10405"_685446_686963

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_ishii3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10405.chaJun 1;4.05586223.41

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. shiteru2 · 100.0%