PHPCLANCHILDES with regular expressions

3 matches in 2 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. now is it a good idea just to leave them <in the> [//] just in the front door like that because … FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 143 · Jeremy 2;05
  3. now is it a good idea just to leave them <in the> [//] just in the front door like that because people will walk on them won't th… FAT · bilingual_eng_french_Watkins/a01wat07.cha, line 143 · 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 143 · Jeremy, 2;5.12
    CHIoh .
    FATthere you are .
    FAT*FAT: now is it a good idea just to leave them <in the> [//] just in the front door like that because people will walk on them won't they ?
    FATwhy don't you bring them over here ?
    CHIhmm ?

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;5.12667234.50

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. just3 · 100.0%