PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,674 words searched).

  1. would you like to do another one ? MOT · eng_british_Manchester_II/john07a.cha, line 272 · John 2;01
  2. do you like numbers , John ? MOT · eng_british_Manchester_II/john07a.cha, line 871 · John 2;01
  3. do you like numbers ? MOT · eng_british_Manchester_II/john07a.cha, line 873 · John 2;01
  4. shall we put that # like that ? MOT · eng_british_Manchester_II/john07a.cha, line 1009 · John 2;01
  5. like that . MOT · eng_british_Manchester_II/john07a.cha, line 1170 · John 2;01
  6. something like that . MOT · eng_british_Manchester_II/john07a.cha, line 1212 · John 2;01
  7. do you like pita bread ? MOT · eng_british_Manchester_II/john07a.cha, line 1295 · John 2;01
  8. would you like that ? MOT · eng_british_Manchester_II/john07a.cha, line 1362 · John 2;01
  1. MOTthat's the nurse .
    MOTwell done .
    MOT*MOT: would you like to do another one ?
    CHIapple .
    MOToh the apple's gone now .
  2. CHIstuck here .
    CHIstuck numbers .
    MOT*MOT: do you like numbers , John ?
    MOTdo you like numbers ?
    CHIyeah .
  3. CHIstuck numbers .
    MOTdo you like numbers , John ?
    MOT*MOT: do you like numbers ?
    CHIyeah .
    MOTgood .
  4. MOTit only goes onto a special digger .
    MOTit's not compatible with these .
    MOT*MOT: shall we put that # like that ?
    CHIxxx .
    CHIgoing here .
  5. MOTcome through this one .
    MOTand then through this one .
    MOT*MOT: like that .
    CHII go .
    CHII go .
  6. CHII bang it .
    CHIwhere it go ?
    MOT*MOT: something like that .
    CHItwo gates .
    CHItwo gates .
  7. CHIit's a drum .
    MOTis that nice pita bread ?
    MOT*MOT: do you like pita bread ?
    MOToh: thirsty work .
    CHIdrum kit .
  8. CHIbox in the car .
    MOTshall we finish building a bigger house so hat you can sit in it ?
    MOT*MOT: would you like that ?
    MOTor shall we put them back in the box ?
    MOTshall we put everything back ?

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. John eng_british_Manchester_II4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john07a.chaJohn 2;1.171,674884.78

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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