PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (404 utterances, 2,002 words searched).

  1. I do like cake . INV · eng_british_Manchester_II/warr09b.cha, line 319 · Warren 2;01
  2. use pretend orange juice like the chips . MOT · eng_british_Manchester_II/warr09b.cha, line 412 · Warren 2;01
  3. would you like a tissue ? MOT · eng_british_Manchester_II/warr09b.cha, line 744 · Warren 2;01
  4. would you like a tissue in your pocket ? MOT · eng_british_Manchester_II/warr09b.cha, line 748 · Warren 2;01
  5. you like Thomas , don't you ? MOT · eng_british_Manchester_II/warr09b.cha, line 1015 · Warren 2;01
  6. you put your hands on top of it like that and then pull it towards you . MOT · eng_british_Manchester_II/warr09b.cha, line 1247 · Warren 2;01
  7. if you put your finger on top of it and pull it like that it will come out . MOT · eng_british_Manchester_II/warr09b.cha, line 1260 · Warren 2;01
  1. INVoh thank you .
    CHIcake Anna .
    INV*INV: I do like cake .
    CHIoh ouch .
    MOTwhoops .
  2. MOTno .
    MOTdon't get any out of the fridge .
    MOT*MOT: use pretend orange juice like the chips .
    MOTand the beans on toast and the cake .
    MOTI don't trust you in the fridge dear .
  3. MOTyou haven't got one .
    CHIwant one in my pocket .
    MOT*MOT: would you like a tissue ?
    CHIin pocket .
    MOTwould you like a tissue in your pocket ?
  4. MOTwould you like a tissue ?
    CHIin pocket .
    MOT*MOT: would you like a tissue in your pocket ?
    MOTthere isn't one in there .
    MOTyour pockets are empty .
  5. CHImore Thomas .
    CHImore Thomas .
    MOT*MOT: you like Thomas , don't you ?
    CHIwatch Thomas .
    MOTno .
  6. MOTpull it .
    MOTnot push .
    MOT*MOT: you put your hands on top of it like that and then pull it towards you .
    MOTokay .
    MOTWarren .
  7. MOTlisten .
    MOTlisten and learn .
    MOT*MOT: if you put your finger on top of it and pull it like that it will come out .
    MOTokay .
    MOTput your fingers on top and pull .

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. Warren eng_british_Manchester_II3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr09b.chaWarren 2;1.012,002773.50

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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