PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,670 words searched).

  1. do you want to cut him up ? MOT · eng_british_Manchester_I/becky28a.cha, line 201 · Becky 2;09
  2. cut him up ? MOT · eng_british_Manchester_I/becky28a.cha, line 203 · Becky 2;09
  3. are you going to put him up +//. MOT · eng_british_Manchester_I/becky28a.cha, line 219 · Becky 2;09
  4. I was just standing him up . MOT · eng_british_Manchester_I/becky28a.cha, line 700 · Becky 2;09
  5. can I just make him stand up . MOT · eng_british_Manchester_I/becky28a.cha, line 911 · Becky 2;09
  6. think we might need to turn him round a little bit actually . MOT · eng_british_Manchester_I/becky28a.cha, line 1100 · Becky 2;09
  7. you don't leave him alone for a minute , do you ? MOT · eng_british_Manchester_I/becky28a.cha, line 1985 · Becky 2;09
  1. CHIxxx .
    CHIwhat can we cut now ?
    MOT*MOT: do you want to cut him up ?
    MOTcut him up ?
    CHIjust put it .
  2. CHIwhat can we cut now ?
    MOTdo you want to cut him up ?
    MOT*MOT: cut him up ?
    CHIjust put it .
    CHIno .
  3. MOTalright .
    MOTpardon ?
    MOT*MOT: are you going to put him up +//.
    MOTxxx .
    MOToh .
  4. CHIthat's mine .
    CHIwhat're you doing ?
    MOT*MOT: I was just standing him up .
    MOTwhat do you mean you can't see , Becky ?
    CHII have got no glasses .
  5. CHIxxx .
    CHIthey 0have [*] fallen down .
    MOT*MOT: can I just make him stand up .
    MOTthe legs just need pushing out .
    MOTthat's it .
  6. MOToh .
    MOTwe could leave it in .
    MOT*MOT: think we might need to turn him round a little bit actually .
    MOTxxx .
    MOTthere we are .
  7. MOToh .
    MOTyou're as bad as you are with Sukie .
    MOT*MOT: you don't leave him alone for a minute , do you ?
    CHIwant to play ?
    MOTI'm having a wash 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. Becky eng_british_Manchester_I4.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky28a.chaBecky 2;9.131,670774.19

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. him7 · 100.0%