PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

4.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,586 words searched).

  1. do you want to comb her hair ? MOT · eng_british_Manchester_I/becky01a.cha, line 779 · Becky 2;00
  2. combing her hair ? MOT · eng_british_Manchester_I/becky01a.cha, line 811 · Becky 2;00
  3. don't comb her face . MOT · eng_british_Manchester_I/becky01a.cha, line 832 · Becky 2;00
  4. shall you sit her in her chair and give her some dinner ? MOT · eng_british_Manchester_I/becky01a.cha, line 858 · Becky 2;00
  5. shall you sit her in her chair and give her some dinner ? MOT · eng_british_Manchester_I/becky01a.cha, line 858 · Becky 2;00
  6. shall you sit her in her chair and give her some dinner ? MOT · eng_british_Manchester_I/becky01a.cha, line 858 · Becky 2;00
  7. this one she calls her spoon . MOT · eng_british_Manchester_I/becky01a.cha, line 1039 · Becky 2;00
  1. INVis that what she makes ?
    MOTwww .
    MOT*MOT: do you want to comb her hair ?
    MOTit's here, Becky .
    CHIoh .
  2. MOThmm ?
    CHIhair .
    MOT*MOT: combing her hair ?
    CHIyeah .
    CHIme .
  3. CHIher face .
    MOTno .
    MOT*MOT: don't comb her face .
    CHIhair .
    CHIhattie on .
  4. MOTfor dolly ?
    MOTxxx bit higher up .
    MOT*MOT: shall you sit her in her chair and give her some dinner ?
    CHIyeah .
    MOTyeah ?
  5. MOTyes .
    MOTwe've lost the spoon .
    MOT*MOT: this one she calls her spoon .
    INVright .
    MOTthere's another one she calls dolly's spoon but it seems to have disappeared .

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_I4.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01a.chaBecky 2;0.071,586574.41

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%