PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,218 words searched).

  1. shall we put Rosie in this chair , John or the car seat ? MOT · eng_british_Manchester_II/john32a.cha, line 11 · John 2;10
  2. the yellow one or the green one . MOT · eng_british_Manchester_II/john32a.cha, line 68 · John 2;10
  3. it's like a very old Bentley or +//. MOT · eng_british_Manchester_II/john32a.cha, line 607 · John 2;10
  4. you had about five or six different greens . MOT · eng_british_Manchester_II/john32a.cha, line 735 · John 2;10
  5. do you want to draw a sheep or do you want to draw a squirrel with a house ? MOT · eng_british_Manchester_II/john32a.cha, line 1039 · John 2;10
  1. eng_british_Manchester_II/john32a.cha, line 11 · John, 2;10.09
    MOT*MOT: shall we put Rosie in this chair , John or the car seat ?
    CHIcar seat .
    MOTcar seat .
  2. eng_british_Manchester_II/john32a.cha, line 68 · John, 2;10.09
    CHIfrom Tumble_Tots .
    MOTlet's look .
    MOT*MOT: the yellow one or the green one .
    MOTwhich one shall we look at ?
    CHII look at it .
  3. eng_british_Manchester_II/john32a.cha, line 607 · John, 2;10.09
    MOToh John .
    MOTyou've not done much of this motor+car .
    MOT*MOT: it's like a very old Bentley or +//.
    MOTI don't know .
    MOTDaddy would be able to tell you .
  4. eng_british_Manchester_II/john32a.cha, line 735 · John, 2;10.09
    MOTyou've got so many greens .
    MOTwe tested them all , didn't we ?
    MOT*MOT: you had about five or six different greens .
    MOTwhich one will we use ?
    CHIthis one .
  5. eng_british_Manchester_II/john32a.cha, line 1039 · John, 2;10.09
    MOTthis is almost like <the greaseproof> [//] the magic paper that we had , John .
    MOTlet's find a picture .
    MOT*MOT: do you want to draw a sheep or do you want to draw a squirrel with a house ?
    CHIno .
    CHImagic .

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_II4.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john32a.chaJohn 2;10.091,218554.11

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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