PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (529 utterances, 2,832 words searched).

  1. nurse dolly and give her a kiss . MOT · eng_british_Manchester_I/aran19b.cha, line 36 · Aran 2;05
  2. it was stuck in her hair ,, wasn't it ? MOT · eng_british_Manchester_I/aran19b.cha, line 40 · Aran 2;05
  3. she doesn't need it in her hair though really . INV · eng_british_Manchester_I/aran19b.cha, line 43 · Aran 2;05
  4. and who's going to make her better ? MOT · eng_british_Manchester_I/aran19b.cha, line 404 · Aran 2;05
  5. oh I'll make her better . INV · eng_british_Manchester_I/aran19b.cha, line 409 · Aran 2;05
  6. I'll sit her here . INV · eng_british_Manchester_I/aran19b.cha, line 413 · Aran 2;05
  7. have you asked her ? MOT · eng_british_Manchester_I/aran19b.cha, line 851 · Aran 2;05
  1. MOTnow what did we say about dolly ?
    MOTyou love dolly ,, don't you ?
    MOT*MOT: nurse dolly and give her a kiss .
    CHIdolly's got that .
    MOTit was stuck in her hair ,, wasn't it ?
  2. MOTnurse dolly and give her a kiss .
    CHIdolly's got that .
    MOT*MOT: it was stuck in her hair ,, wasn't it ?
    INVshe doesn't need it in her hair though really .
    MOTshe doesn't need it .
  3. CHIdolly's got that .
    MOTit was stuck in her hair ,, wasn't it ?
    INV*INV: she doesn't need it in her hair though really .
    MOTshe doesn't need it .
    MOTno .
  4. MOThas she got nibbled toes now ?
    CHIyeah .
    MOT*MOT: and who's going to make her better ?
    CHIyou make better .
    INVoh I'll make her better .
  5. MOTand who's going to make her better ?
    CHIyou make better .
    INV*INV: oh I'll make her better .
    INVokay .
    INVI'll sit her here .
  6. INVoh I'll make her better .
    INVokay .
    INV*INV: I'll sit her here .
    CHIwhat's these ?
    MOTthose are barriers to keep the animals in ,, aren't they ?
  7. CHIAnna's not got a dog .
    MOThasn't she ?
    MOT*MOT: have you asked her ?
    CHIyou got a doggie , Anna ?
    INVno .

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. Aran eng_british_Manchester_I2.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran19b.chaAran 2;5.172,832772.47

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. her7 · 100.0%