PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 1,830 words searched).

  1. don't put it in my face . MOT · eng_british_Manchester_I/becky18a.cha, line 1271 · Becky 2;06
  2. you make a face for us . MOT · eng_british_Manchester_I/becky18a.cha, line 1585 · Becky 2;06
  3. so what else do you need for a face ? MOT · eng_british_Manchester_I/becky18a.cha, line 1650 · Becky 2;06
  4. a face ? MOT · eng_british_Manchester_I/becky18a.cha, line 1668 · Becky 2;06
  1. eng_british_Manchester_I/becky18a.cha, line 1271 · Becky, 2;6.05
    MOTyes .
    MOTno .
    MOT*MOT: don't put it in my face .
    CHIum what's next ?
    CHIget [/] get your scissors .
  2. eng_british_Manchester_I/becky18a.cha, line 1585 · Becky, 2;6.05
    CHI<did you do> [/] did you do this eyes ?
    MOTcome on then .
    MOT*MOT: you make a face for us .
    CHIum did you do eye ?
    CHIdid you do these eyes ?
  3. eng_british_Manchester_I/becky18a.cha, line 1650 · Becky, 2;6.05
    CHIis that right ?
    MOTyeah .
    MOT*MOT: so what else do you need for a face ?
    CHIum there .
    MOTI'm sure it doesn't really matter which way round the little red circles go , Becky .
  4. eng_british_Manchester_I/becky18a.cha, line 1668 · Becky, 2;6.05
    CHI<I need a> [/] I need a face .
    MOTgo on .
    MOT*MOT: a face ?
    MOTa mouth , you mean .
    CHIxxx .

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_I2.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18a.chaBecky 2;6.051,830442.19

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. face4 · 100.0%