PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,574 words searched).

  1. I've just put some more in . MOT · eng_british_Manchester_I/carl07a.cha, line 69 · Carl 1;11
  2. do you want some more ? MOT · eng_british_Manchester_I/carl07a.cha, line 750 · Carl 1;11
  3. do you want some more ? MOT · eng_british_Manchester_I/carl07a.cha, line 752 · Carl 1;11
  4. do you want to read more of Pat Carl ? MOT · eng_british_Manchester_I/carl07a.cha, line 1161 · Carl 1;11
  5. shall we read some <more of Pat> [>] ? MOT · eng_british_Manchester_I/carl07a.cha, line 1166 · Carl 1;11
  6. shall we go and read more of Pat ? MOT · eng_british_Manchester_I/carl07a.cha, line 1194 · Carl 1;11
  7. you've got no more paper now . MOT · eng_british_Manchester_I/carl07a.cha, line 1469 · Carl 1;11
  1. MOTMummy filled it up for you .
    CHIwhat happened ?
    MOT*MOT: I've just put some more in .
    CHIwhat happened ?
    MOToh I see .
  2. CHIthere's Granddad .
    MOTand Granddad .
    MOT*MOT: do you want some more ?
    MOTdo you want some more ?
    CHIno .
  3. MOTand Granddad .
    MOTdo you want some more ?
    MOT*MOT: do you want some more ?
    CHIno .
    MOTno okay .
  4. MOTCarl who's that ?
    MOToh you want Mummy to make the dots .
    MOT*MOT: do you want to read more of Pat Carl ?
    CHIyeah .
    MOTshall we read some <more of Pat> [>] ?
  5. MOTdo you want to read more of Pat Carl ?
    CHIyeah .
    MOT*MOT: shall we read some <more of Pat> [>] ?
    CHI<this xxx> [<] .
    MOTlook see .
  6. MOToh look it's a spotty cow .
    MOTCarl .
    MOT*MOT: shall we go and read more of Pat ?
    CHImore Pat .
    MOTto see what he des [: does] with the letters .
  7. MOTcome on .
    CHIno no draw paper .
    MOT*MOT: you've got no more paper now .
    MOTcome on .
    CHIno Pat .

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. Carl eng_british_Manchester_I4.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl07a.chaCarl 1;11.031,574774.45

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. more7 · 100.0%