PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.97 per 1,000 words of the child (CHI), in 1 of 1 transcripts (397 utterances, 1,004 words searched).

  1. where's dolly ? CHI · eng_british_Manchester_II/liz15b.cha, line 51 · Liz 2;04
  2. get [*] it off dolly . CHI · eng_british_Manchester_II/liz15b.cha, line 77 · Liz 2;04
  3. on dolly . CHI · eng_british_Manchester_II/liz15b.cha, line 175 · Liz 2;04
  4. keep still dolly . CHI · eng_british_Manchester_II/liz15b.cha, line 203 · Liz 2;04
  5. put dolly . CHI · eng_british_Manchester_II/liz15b.cha, line 346 · Liz 2;04
  6. got no pants on , dolly . CHI · eng_british_Manchester_II/liz15b.cha, line 450 · Liz 2;04
  7. you 0have [*] got no pants on , dolly . CHI · eng_british_Manchester_II/liz15b.cha, line 460 · Liz 2;04
  1. MOTright .
    CHImove a bit panda .
    CHI*CHI: where's dolly ?
    MOTthere she is .
    CHIthere she is .
  2. CHIoff .
    CHII want it off .
    CHI*CHI: get [*] it off dolly .
    MOTokay .
    MOTwe'll have [/] have to undo the knots first .
  3. CHIthose ones .
    MOTNana used to put those in my hair when I was a little girl .
    CHI*CHI: on dolly .
    MOTyes these are for dolly .
    MOT<you can> [/] you can brush her hair if you get the brush .
  4. MOTI'll hold her still .
    CHIyeah .
    CHI*CHI: keep still dolly .
    MOToh: it's all tatty like yours gets , isn't it ?
    CHIit 0is [*] tatty .
  5. MOTcome here then .
    MOTno ?
    CHI*CHI: put dolly .
    MOTput it on dolly ?
    CHIyeah .
  6. CHIyeah .
    MOTgo on then .
    CHI*CHI: got no pants on , dolly .
    CHIyou 0have [*] got no pants on .
    CHIgot no pants on now .
  7. CHIgot no pants on now .
    CHIyou 0have [*] got no pants on .
    CHI*CHI: you 0have [*] got no pants on , dolly .
    CHIwant get up .
    CHIwant to stand up now ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_II6.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz15b.chaLiz 2;4.031,004776.97

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.

  1. dolly7 · 100.0%