PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (192 utterances, 438 words searched).

  1. nani miten [: mite+iru] no . %mov:"00822"_514692_515918 FAT · japanese_ishii/00822.cha, line 188 · Jun 0;08
  2. a(re) (o) miten [: mite+iru] no ? %mov:"00822"_515918_517013 FAT · japanese_ishii/00822.cha, line 189 · Jun 0;08
  1. CHIugun . %mov:"00822"_504701_513984
    FATun ? %mov:"00822"_513984_514692
    FAT*FAT: nani miten [: mite+iru] no . %mov:"00822"_514692_515918
    FATa(re) (o) miten [: mite+iru] no ? %mov:"00822"_515918_517013
    FATakaino (ga) tsuiteru ? %mov:"00822"_517013_519649
  2. FATun ? %mov:"00822"_513984_514692
    FATnani miten [: mite+iru] no . %mov:"00822"_514692_515918
    FAT*FAT: a(re) (o) miten [: mite+iru] no ? %mov:"00822"_515918_517013
    FATakaino (ga) tsuiteru ? %mov:"00822"_517013_519649
    FATun ? %mov:"00822"_519649_521157

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_ishii4.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00822.chaJun 0;8.22438224.57

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. miten2 · 100.0%