PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,049 words searched).

  1. do you want to put on her trousers ? INV · eng_british_Manchester_II/nic05b.cha, line 646 · Nicole 2;02
  2. has she got some trousers oh . MOT · eng_british_Manchester_II/nic05b.cha, line 652 · Nicole 2;02
  3. let's look for her trousers, Nicole . MOT · eng_british_Manchester_II/nic05b.cha, line 656 · Nicole 2;02
  4. look for dolly's trousers . MOT · eng_british_Manchester_II/nic05b.cha, line 658 · Nicole 2;02
  5. look for dolly's trousers . MOT · eng_british_Manchester_II/nic05b.cha, line 662 · Nicole 2;02
  6. there's a little white top and some # blue trousers . INV · eng_british_Manchester_II/nic05b.cha, line 800 · Nicole 2;02
  1. eng_british_Manchester_II/nic05b.cha, line 646 · Nicole, 2;2.05
    CHIbobble .
    CHImmhm .
    INV*INV: do you want to put on her trousers ?
    CHIyeah .
    INVthere , look .
  2. eng_british_Manchester_II/nic05b.cha, line 652 · Nicole, 2;2.05
    CHIyeah .
    INVthere , look .
    MOT*MOT: has she got some trousers oh .
    INVjust behind you .
    MOTlet's look for her trousers, Nicole .
  3. eng_british_Manchester_II/nic05b.cha, line 656 · Nicole, 2;2.05
    MOThas she got some trousers oh .
    INVjust behind you .
    MOT*MOT: let's look for her trousers, Nicole .
    MOTlook for dolly's trousers .
    MOTyou'll have to sit up properly .
  4. eng_british_Manchester_II/nic05b.cha, line 658 · Nicole, 2;2.05
    INVjust behind you .
    MOTlet's look for her trousers, Nicole .
    MOT*MOT: look for dolly's trousers .
    MOTyou'll have to sit up properly .
    MOTlook for dolly's trousers .
  5. eng_british_Manchester_II/nic05b.cha, line 662 · Nicole, 2;2.05
    MOTlook for dolly's trousers .
    MOTyou'll have to sit up properly .
    MOT*MOT: look for dolly's trousers .
    CHIno way .
    CHIno way .
  6. eng_british_Manchester_II/nic05b.cha, line 800 · Nicole, 2;2.05
    MOThas she got any clothes ?
    INVyeah there should be some .
    INV*INV: there's a little white top and some # blue trousers .
    INVsome blue dungarees .
    MOTI wonder if they're in this basket .

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. Nicole eng_british_Manchester_II2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic05b.chaNicole 2;2.052,049662.93

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. trousers6 · 100.0%