PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. what's she having ? MOT · eng_british_Manchester_II/nic01a.cha, line 123 · Nicole 2;00
  2. are you going to tell Caroline what Moncia's having for her breakfast ? MOT · eng_british_Manchester_II/nic01a.cha, line 125 · Nicole 2;00
  3. is she having Coco_Pops ? INV · eng_british_Manchester_II/nic01a.cha, line 143 · Nicole 2;00
  4. she's having pie for breakfast ? INV · eng_british_Manchester_II/nic01a.cha, line 157 · Nicole 2;00
  5. are we having scrambled eggs now ? MOT · eng_british_Manchester_II/nic01a.cha, line 319 · Nicole 2;00
  6. are you having a bite of pie ? MOT · eng_british_Manchester_II/nic01a.cha, line 800 · Nicole 2;00
  1. eng_british_Manchester_II/nic01a.cha, line 123 · Nicole, 2;0.25
    CHIspoon .
    MOTgood girl .
    MOT*MOT: what's she having ?
    MOTare you going to tell Caroline what Moncia's having for her breakfast ?
    INVwhat's she eating ?
  2. eng_british_Manchester_II/nic01a.cha, line 125 · Nicole, 2;0.25
    MOTgood girl .
    MOTwhat's she having ?
    MOT*MOT: are you going to tell Caroline what Moncia's having for her breakfast ?
    INVwhat's she eating ?
    CHIno .
  3. eng_british_Manchester_II/nic01a.cha, line 143 · Nicole, 2;0.25
    MOTCoco_Pops ?
    CHICoco .
    INV*INV: is she having Coco_Pops ?
    INVoh .
    INVlucky Morag .
  4. eng_british_Manchester_II/nic01a.cha, line 157 · Nicole, 2;0.25
    INVshe's eating pie , is she ?
    MOTyou like pie , don't you ?
    INV*INV: she's having pie for breakfast ?
    MOTmmm .
    INVthat's nice .
  5. eng_british_Manchester_II/nic01a.cha, line 319 · Nicole, 2;0.25
    CHIxxx .
    MOToh .
    MOT*MOT: are we having scrambled eggs now ?
    MOTyou're cooking a very nice meal , aren't you ?
    CHIxxx .
  6. eng_british_Manchester_II/nic01a.cha, line 800 · Nicole, 2;0.25
    CHIyeah .
    MOToh .
    MOT*MOT: are you having a bite of pie ?
    MOTdoes Morag like her pie ?
    MOTcan Mummy have some .

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_II2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284662.63

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. having6 · 100.0%