PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. shall I comb dolly's hair for her ? MOT · eng_british_Manchester_I/becky02a.cha, line 736 · Becky 2;00
  2. do you want to comb her hair ? MOT · eng_british_Manchester_I/becky02a.cha, line 752 · Becky 2;00
  3. do you want to comb her hair ? MOT · eng_british_Manchester_I/becky02a.cha, line 760 · Becky 2;00
  4. are you combing her hair with a saucepan ? MOT · eng_british_Manchester_I/becky02a.cha, line 766 · Becky 2;00
  5. and what's her name though ? MOT · eng_british_Manchester_I/becky02a.cha, line 817 · Becky 2;00
  6. her name's Tiny_Tears . MOT · eng_british_Manchester_I/becky02a.cha, line 827 · Becky 2;00
  7. can you see her dress ? MOT · eng_british_Manchester_I/becky02a.cha, line 1894 · Becky 2;00
  1. CHIow .
    CHIxxx hair .
    MOT*MOT: shall I comb dolly's hair for her ?
    CHIyeah .
    MOThas she got pretty hair ?
  2. MOTyes .
    MOTthere .
    MOT*MOT: do you want to comb her hair ?
    CHIyeah .
    MOTdon't stick that in your hair .
  3. CHIyeah .
    MOTdon't stick that in your hair .
    MOT*MOT: do you want to comb her hair ?
    CHIyeah .
    MOTgo on then .
  4. CHIyeah .
    MOTgo on then .
    MOT*MOT: are you combing her hair with a saucepan ?
    CHIyeah .
    MOTare you ?
  5. MOTwho is this, Becky ?
    CHIdolly .
    MOT*MOT: and what's her name though ?
    CHIjuice .
    MOTjuice ?
  6. CHIyeah .
    MOTno .
    MOT*MOT: her name's Tiny_Tears .
    CHITiny_Tears .
    MOTTiny_Tears .
  7. MOTteddy .
    MOTshe's wearing a dress .
    MOT*MOT: can you see her dress ?
    CHIbaby .
    CHIteddy .

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. Becky eng_british_Manchester_I3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,988773.52

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. her7 · 100.0%