PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (166 utterances, 313 words searched).

  1. hai, buubuu mohitotsu aru yo . %mov:"10111"_117452_121801 FAT · japanese_ishii/10111.cha, line 92 · Jun 1;01
  2. buubuu mohitotsu aru yo . %mov:"10111"_131257_131257 FAT · japanese_ishii/10111.cha, line 100 · Jun 1;01
  1. japanese_ishii/10111.cha, line 92 · Jun, 1;01.11
    FATaatoo [: arigatou] wa ? %mov:"10111"_115601_116800
    CHIbuu . %mov:"10111"_116800_117452
    FAT*FAT: hai, buubuu mohitotsu aru yo . %mov:"10111"_117452_121801
    CHIaau . %mov:"10111"_121801_124150
    FATJunkuun ! %mov:"10111"_124150_124842
  2. japanese_ishii/10111.cha, line 100 · Jun, 1;01.11
    CHIxxx. %mov:"10111"_126506_127389
    FATJunkuun ! %mov:"10111"_127389_131257
    FAT*FAT: buubuu mohitotsu aru yo . %mov:"10111"_131257_131257
    CHIjii. %mov:"10111"_137916_143054
    CHIunyui . %mov:"10111"_143054_144630

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_ishii6.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10111.chaJun 1;01.11313226.39

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. mohitotsu2 · 100.0%