PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. what're you looking for ? MOT · eng_british_Manchester_I/becky18a.cha, line 255 · Becky 2;06
  2. another birdie for you . MOT · eng_british_Manchester_I/becky18a.cha, line 487 · Becky 2;06
  3. you make a face for us . MOT · eng_british_Manchester_I/becky18a.cha, line 1585 · Becky 2;06
  4. so what else do you need for a face ? MOT · eng_british_Manchester_I/becky18a.cha, line 1650 · Becky 2;06
  5. what else do you need for the picture ? MOT · eng_british_Manchester_I/becky18a.cha, line 1727 · Becky 2;06
  6. and we need some of the little blue circles for middles . MOT · eng_british_Manchester_I/becky18a.cha, line 1956 · Becky 2;06
  7. can you see another little blue circle there for me ? MOT · eng_british_Manchester_I/becky18a.cha, line 1965 · Becky 2;06
  1. MOTyeah .
    MOTwhat do you want +//.
    MOT*MOT: what're you looking for ?
    CHII just xxx .
    MOTwhat did you find ?
  2. CHIhop .
    MOToh .
    MOT*MOT: another birdie for you .
    CHIhop [x 3] .
    MOTgo on .
  3. 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 ?
  4. 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 .
  5. CHIno .
    CHII'm xxx .
    MOT*MOT: what else do you need for the picture ?
    MOTwhat about some hair ?
    CHIhair .
  6. MOTlet's use these now .
    CHIxxx .
    MOT*MOT: and we need some of the little blue circles for middles .
    CHII don't have some red ones .
    INVno .
  7. INVno .
    INVyou don't have red eyes .
    MOT*MOT: can you see another little blue circle there for me ?
    MOToh .
    MOTxxx .

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_I3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18a.chaBecky 2;6.051,830773.83

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.

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