PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (111 utterances, 667 words searched).

  1. Jeremy not the big ones just the little ones please . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 14 · Jeremy 2;05
  2. it's not a big one ? FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 53 · Jeremy 2;05
  3. that's not a big one that's a small one . FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 167 · Jeremy 2;05
  1. bilingual_eng_french_Watkins/a01wat07.cha, line 14 · Jeremy, 2;5.12
    CHIxx like this .
    FAT*FAT: Jeremy not the big ones just the little ones please .
    CHIe big ones .
    FATyes but that's a big one .
  2. bilingual_eng_french_Watkins/a01wat07.cha, line 53 · Jeremy, 2;5.12
    FATthat's a big one .
    CHIno it 0v not a big one .
    FAT*FAT: it's not a big one ?
    CHIno it's a small one .
    FATso you're going to leave it inside are you ?
  3. bilingual_eng_french_Watkins/a01wat07.cha, line 167 · Jeremy, 2;5.12
    CHIyes .
    CHIis a big one this ?
    FAT*FAT: that's not a big one that's a small one .
    FATdo you think that's a big one ?
    CHIit's what [>] ?

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. Jeremy bilingual_eng_french_Watkins4.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat07.chaJeremy 2;5.12667334.50

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. not3 · 100.0%