PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. going to do a big pose for me ? MOT · eng_british_Manchester_I/becky02a.cha, line 43 · Becky 2;00
  2. xxx hole for it . MOT · eng_british_Manchester_I/becky02a.cha, line 186 · Becky 2;00
  3. shall I comb dolly's hair for her ? MOT · eng_british_Manchester_I/becky02a.cha, line 736 · Becky 2;00
  4. do you want to use the table for it ? MOT · eng_british_Manchester_I/becky02a.cha, line 888 · Becky 2;00
  5. shall I spin it round for you ? MOT · eng_british_Manchester_I/becky02a.cha, line 941 · Becky 2;00
  6. because xxx letter d@l for Dodson . MOT · eng_british_Manchester_I/becky02a.cha, line 1096 · Becky 2;00
  7. can you say some numbers for me, Becky ? MOT · eng_british_Manchester_I/becky02a.cha, line 1148 · Becky 2;00
  8. what are they eating for their dinner ? MOT · eng_british_Manchester_I/becky02a.cha, line 1232 · Becky 2;00
  9. oh here's that spoon I was looking for . MOT · eng_british_Manchester_I/becky02a.cha, line 1359 · Becky 2;00
  1. CHIyeah .
    MOTsmile .
    MOT*MOT: going to do a big pose for me ?
    MOTwww .
    CHIturtle .
  2. CHIno .
    MOTno .
    MOT*MOT: xxx hole for it .
    MOTno .
    MOTno .
  3. CHIow .
    CHIxxx hair .
    MOT*MOT: shall I comb dolly's hair for her ?
    CHIyeah .
    MOThas she got pretty hair ?
  4. MOTxxx use the +//.
    MOTI suppose you could use the table .
    MOT*MOT: do you want to use the table for it ?
    CHIyeah .
    MOTyeah ?
  5. MOTxxx .
    MOTwhere are your people ?
    MOT*MOT: shall I spin it round for you ?
    CHIyeah .
    MOTgive me the [/] the [/] the umbrella stick then .
  6. MOTright .
    MOTput it here then .
    MOT*MOT: because xxx letter d@l for Dodson .
    MOTthere .
    MOTthat says your name there, Becky .
  7. CHIhello Sukie .
    MOTwww .
    MOT*MOT: can you say some numbers for me, Becky ?
    CHI&a want there ?
    MOTI don't think Sukie wants them .
  8. MOTthere's another table .
    MOTyes .
    MOT*MOT: what are they eating for their dinner ?
    MOTwhat are they eating ?
    MOThmm ?
  9. MOTthere you are .
    CHIxxx .
    MOT*MOT: oh here's that spoon I was looking for .
    MOTisn't it amazing what you find at the bottom on the toybox ?
    CHIxxx .

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_I4.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,988994.53

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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