PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (287 utterances, 1,125 words searched).

  1. oh: it nearly went in Anna's box . MOT · eng_british_Manchester_II/liz27a.cha, line 96 · Liz 2;08
  2. that's piercing in the ears . MOT · eng_british_Manchester_II/liz27a.cha, line 153 · Liz 2;08
  3. do you want to go and put it in the box then ? MOT · eng_british_Manchester_II/liz27a.cha, line 202 · Liz 2;08
  4. do you want to put the eyes in ? MOT · eng_british_Manchester_II/liz27a.cha, line 774 · Liz 2;08
  5. I think we're running out of room in this pad , aren't we ? MOT · eng_british_Manchester_II/liz27a.cha, line 806 · Liz 2;08
  6. you've got the hair all round in the right place , haven't you ? MOT · eng_british_Manchester_II/liz27a.cha, line 841 · Liz 2;08
  1. CHIyeah .
    MOToh: .
    MOT*MOT: oh: it nearly went in Anna's box .
    INVthere you go .
    MOToh: .
  2. MOTthat's loud , isn't it ?
    MOToh: .
    MOT*MOT: that's piercing in the ears .
    INVit certainly is .
    MOTwww .
  3. MOTdo you want to get them out ?
    CHIthere's another crayon on the floor .
    MOT*MOT: do you want to go and put it in the box then ?
    CHIthis nail want [*] cutting .
    MOTdoes it ?
  4. MOTI've only got little ears .
    MOTa mouth .
    MOT*MOT: do you want to put the eyes in ?
    MOToh: and is that my nose as well ?
    CHImmhm .
  5. MOTshall we do it here ?
    MOTwe've got some room there , haven't we ?
    MOT*MOT: I think we're running out of room in this pad , aren't we ?
    MOTI feel like there should be lots of spare pages but there aren't .
    MOToh there we go .
  6. CHIsticky out hair .
    MOTsticky out hair .
    MOT*MOT: you've got the hair all round in the right place , haven't you ?
    MOTand a nice big smiley mouth .
    CHIit's in there now .

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. Liz eng_british_Manchester_II5.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz27a.chaLiz 2;8.141,125665.33

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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