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. so what else do you need for a face ? MOT · eng_british_Manchester_I/becky18a.cha, line 1650 · Becky 2;06
  2. what else do you need for the picture ? MOT · eng_british_Manchester_I/becky18a.cha, line 1727 · Becky 2;06
  3. um what else ? MOT · eng_british_Manchester_I/becky18a.cha, line 1997 · Becky 2;06
  4. anything else you need ? MOT · eng_british_Manchester_I/becky18a.cha, line 1999 · Becky 2;06
  1. 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 .
  2. CHIno .
    CHII'm xxx .
    MOT*MOT: what else do you need for the picture ?
    MOTwhat about some hair ?
    CHIhair .
  3. CHIwhere's the +/.
    MOTthere it is , look .
    MOT*MOT: um what else ?
    MOTanything else you need ?
    MOTbit more hair , do you think ?
  4. MOTthere it is , look .
    MOTum what else ?
    MOT*MOT: anything else you need ?
    MOTbit more hair , do you think ?
    CHIyeah .

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. else4 · 100.0%