PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 985 words searched).

  1. have you got the calf ? MOT · eng_british_Manchester_I/becky22a.cha, line 295 · Becky 2;07
  2. you've dropped it , have you ? MOT · eng_british_Manchester_I/becky22a.cha, line 679 · Becky 2;07
  3. have they fallen down ? MOT · eng_british_Manchester_I/becky22a.cha, line 947 · Becky 2;07
  4. have you got it ? MOT · eng_british_Manchester_I/becky22a.cha, line 1056 · Becky 2;07
  5. can I have a look ? MOT · eng_british_Manchester_I/becky22a.cha, line 1377 · Becky 2;07
  6. have they got some names ? MOT · eng_british_Manchester_I/becky22a.cha, line 1444 · Becky 2;07
  1. eng_british_Manchester_I/becky22a.cha, line 295 · Becky, 2;7.09
    CHIand the calf , Mum ?
    MOTthe calf ?
    MOT*MOT: have you got the calf ?
    CHIthere 0is [*] the calf .
    MOToh yes .
  2. eng_british_Manchester_I/becky22a.cha, line 679 · Becky, 2;7.09
    MOTwhat's happened ?
    CHIum I pick up xxx .
    MOT*MOT: you've dropped it , have you ?
    CHIxxx .
    MOTthere you are .
  3. eng_british_Manchester_I/becky22a.cha, line 947 · Becky, 2;7.09
    CHIwhat's that , Mum .
    MOTwhat's happened ?
    MOT*MOT: have they fallen down ?
    CHIyes .
    MOTare you going to tell that story then about the [/] the mouse who lived in a little cage .
  4. eng_british_Manchester_I/becky22a.cha, line 1056 · Becky, 2;7.09
    CHIoh .
    CHIno .
    MOT*MOT: have you got it ?
    MOTshall we stand them up ?
    CHIyeah .
  5. eng_british_Manchester_I/becky22a.cha, line 1377 · Becky, 2;7.09
    MOToh .
    MOTis there room to put another one on ?
    MOT*MOT: can I have a look ?
    CHIis there room for another one on ?
    MOTthat one there .
  6. eng_british_Manchester_I/becky22a.cha, line 1444 · Becky, 2;7.09
    MOTthey're the children , are they ?
    CHIyes .
    MOT*MOT: have they got some names ?
    CHIum yes .
    CHIthey have .

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_I6.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky22a.chaBecky 2;7.09985666.09

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. have6 · 100.0%