PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (377 utterances, 1,577 words searched).

  1. have we put it +//. MOT · eng_british_Manchester_II/john04a.cha, line 237 · John 2;00
  2. we will have a look for your hammer . MOT · eng_british_Manchester_II/john04a.cha, line 500 · John 2;00
  3. you have that one . MOT · eng_british_Manchester_II/john04a.cha, line 566 · John 2;00
  4. you have a look at one of your books . MOT · eng_british_Manchester_II/john04a.cha, line 657 · John 2;00
  5. we don't really have a doll , do we ? MOT · eng_british_Manchester_II/john04a.cha, line 770 · John 2;00
  6. yeah you're gonna [: going to] have some apple juice , aren't you ? INV · eng_british_Manchester_II/john04a.cha, line 1129 · John 2;00
  7. have you got it ? MOT · eng_british_Manchester_II/john04a.cha, line 1141 · John 2;00
  1. MOTthat's for drilling in the piece of wood wherever your piece of wood is .
    MOTwhere is it ?
    MOT*MOT: have we put it +//.
    MOTthere it is .
    MOTlook .
  2. MOTwell Anna said she hasn't brought it today .
    CHIfind the hammer .
    MOT*MOT: we will have a look for your hammer .
    MOTI don't know where it is .
    CHIhammer .
  3. CHIfor Mummy .
    MOTno thank you .
    MOT*MOT: you have that one .
    MOTit's already been in your mouth , hasn't it ?
    CHIthe hammer .
  4. CHIwait .
    MOTwill you wait here ?
    MOT*MOT: you have a look at one of your books .
    MOThow about showing Anna your book ?
    MOTno and I'll go and get a doll .
  5. CHIbox .
    INVyeah we'll look in it later .
    MOT*MOT: we don't really have a doll , do we ?
    MOTno John this one .
    CHIbox .
  6. CHIMummy apple juice .
    CHIMummy apple juice .
    INV*INV: yeah you're gonna [: going to] have some apple juice , aren't you ?
    MOTthere you are , John .
    MOTlet's take it to +//.
  7. MOToh I was gonna [: going to] say table then .
    MOTright .
    MOT*MOT: have you got it ?
    CHIapple juice .
    MOTthere .

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_II4.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john04a.chaJohn 2;0.181,577774.44

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. have7 · 100.0%