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. moo nainai shoo ka . %mov:"00822"_534928_536187 FAT · japanese_ishii/00822.cha, line 194 · Jun 0;08
  2. nainai shitokimashoo ka . %mov:"00822"_536187_538047 FAT · japanese_ishii/00822.cha, line 195 · Jun 0;08
  1. japanese_ishii/00822.cha, line 194 · Jun, 0;8.22
    FATun ? %mov:"00822"_519649_521157
    FATyoshi . %mov:"00822"_531660_534928
    FAT*FAT: moo nainai shoo ka . %mov:"00822"_534928_536187
    FATnainai shitokimashoo ka . %mov:"00822"_536187_538047
    FATnainaai . %mov:"00822"_538047_538961
  2. japanese_ishii/00822.cha, line 195 · Jun, 0;8.22
    FATyoshi . %mov:"00822"_531660_534928
    FATmoo nainai shoo ka . %mov:"00822"_534928_536187
    FAT*FAT: nainai shitokimashoo ka . %mov:"00822"_536187_538047
    FATnainaai . %mov:"00822"_538047_538961
    FATyoshi ! %mov:"00822"_538961_541141

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. nainai2 · 100.0%