PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (337 utterances, 1,289 words searched).

  1. lot of cows , aren't there ? MOT · eng_british_Manchester_I/becky14b.cha, line 303 · Becky 2;04
  2. do I want a cup of tea ? INV · eng_british_Manchester_I/becky14b.cha, line 805 · Becky 2;04
  3. what [/] what are you thinking of ? MOT · eng_british_Manchester_I/becky14b.cha, line 922 · Becky 2;04
  4. you're thinking of Toy_Story , aren't you ? MOT · eng_british_Manchester_I/becky14b.cha, line 928 · Becky 2;04
  5. got a lot of hair , hasn't she this dolly , Becky . MOT · eng_british_Manchester_I/becky14b.cha, line 991 · Becky 2;04
  1. eng_british_Manchester_I/becky14b.cha, line 303 · Becky, 2;4.28
    MOTit's a cow .
    CHIit's cow .
    MOT*MOT: lot of cows , aren't there ?
    MOTdifferent sorts .
    CHIdad .
  2. eng_british_Manchester_I/becky14b.cha, line 805 · Becky, 2;4.28
    CHIRachel's .
    CHIwant wanna a cup of tea ?
    INV*INV: do I want a cup of tea ?
    CHImmhm .
    INVI've got one thank you .
  3. eng_british_Manchester_I/becky14b.cha, line 922 · Becky, 2;4.28
    CHIgreen dinosaur .
    MOTthe green dinosaur .
    MOT*MOT: what [/] what are you thinking of ?
    CHIthat green dinosaur .
    MOTyes .
  4. eng_british_Manchester_I/becky14b.cha, line 928 · Becky, 2;4.28
    CHIthat green dinosaur .
    MOTyes .
    MOT*MOT: you're thinking of Toy_Story , aren't you ?
    CHImmhm .
    INVgreen dinosaur ?
  5. eng_british_Manchester_I/becky14b.cha, line 991 · Becky, 2;4.28
    MOTyou normally watch some cartoons , don't you on Saturdays .
    MOThmm ?
    MOT*MOT: got a lot of hair , hasn't she this dolly , Becky .
    MOTBecky .
    MOTwhat're you doing ?

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_I3.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14b.chaBecky 2;4.281,289553.88

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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