PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (368 utterances, 1,441 words searched).

  1. we did have a pink one as well , didn't we , Becky ? MOT · eng_british_Manchester_I/becky34b.cha, line 166 · Becky 2;11
  2. have to just sit him down I think . MOT · eng_british_Manchester_I/becky34b.cha, line 384 · Becky 2;11
  3. have you lost your mummy and daddy ? MOT · eng_british_Manchester_I/becky34b.cha, line 651 · Becky 2;11
  4. have his trousers . INV · eng_british_Manchester_I/becky34b.cha, line 917 · Becky 2;11
  5. have panda . INV · eng_british_Manchester_I/becky34b.cha, line 919 · Becky 2;11
  6. we have [//] don't need that , do we ? MOT · eng_british_Manchester_I/becky34b.cha, line 1021 · Becky 2;11
  7. can I just have a look . MOT · eng_british_Manchester_I/becky34b.cha, line 1215 · Becky 2;11
  1. CHIit's stand on your toe .
    CHIthat's xxx .
    MOT*MOT: we did have a pink one as well , didn't we , Becky ?
    MOTI don't know what's happened to that .
    CHIwhat ?
  2. MOTno .
    CHIno .
    MOT*MOT: have to just sit him down I think .
    CHIeven sit him down .
    CHIso what's [*] sit down on ?
  3. MOT<I don't think they're crying> [/] I don't think they're crying again , Becky .
    CHII've lost my mummy and daddy again .
    MOT*MOT: have you lost your mummy and daddy ?
    MOTI think they're over there , look .
    CHImummy .
  4. CHIxxx .
    INVhere you are .
    INV*INV: have his trousers .
    INVhave panda .
    INVright .
  5. INVhere you are .
    INVhave his trousers .
    INV*INV: have panda .
    INVright .
    CHIxxx .
  6. CHIwe haven't got to have this in .
    MOTno .
    MOT*MOT: we have [//] don't need that , do we ?
    MOTnor that pot there .
    MOTthat's not shopping , is it ?
  7. MOTI think .
    MOTit's a bit deceptive actually .
    MOT*MOT: can I just have a look .
    MOTyeah .
    MOTthere's two dogs , aren't there ?

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_I4.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34b.chaBecky 2;11.151,441774.86

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%