PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,359 words searched).

  1. we're not gonna [: going to] start that , are we ? MOT · eng_british_Manchester_II/nic12a.cha, line 117 · Nicole 2;04
  2. what's Mummy gonna [: going to] get ? INV · eng_british_Manchester_II/nic12a.cha, line 184 · Nicole 2;04
  3. are you gonna [: going to] do it ? MOT · eng_british_Manchester_II/nic12a.cha, line 261 · Nicole 2;04
  4. are you gonna [: going to] sit here ? INV · eng_british_Manchester_II/nic12a.cha, line 740 · Nicole 2;04
  5. gonna [: going to] do Inga's hair ? MOT · eng_british_Manchester_II/nic12a.cha, line 1171 · Nicole 2;04
  6. gonna [: going to] put her hair in bobbles ? INV · eng_british_Manchester_II/nic12a.cha, line 1518 · Nicole 2;04
  7. you're gonna [: going to] write Caroline's name . MOT · eng_british_Manchester_II/nic12a.cha, line 1987 · Nicole 2;04
  1. CHIMummy do it .
    MOToh .
    MOT*MOT: we're not gonna [: going to] start that , are we ?
    MOTMummy do it .
    MOTcome on .
  2. MOTI'll just be a minute .
    MOTjust going to the bath+room .
    INV*INV: what's Mummy gonna [: going to] get ?
    CHIum a toy .
    CHIa tap .
  3. MOTxxx .
    MOTthink Mummy'll have to do it .
    MOT*MOT: are you gonna [: going to] do it ?
    MOTyou have a go .
    MOTI'll hold her head .
  4. CHINicole .
    CHIxxx .
    INV*INV: are you gonna [: going to] sit here ?
    CHIyeah .
    INVshall I move this ?
  5. MOT<they've all> [//] think they've all been drawn on .
    INVxxx make+up .
    MOT*MOT: gonna [: going to] do Inga's hair ?
    CHIxxx .
    MOTno .
  6. MOTshall I go and get two bobbles ?
    MOTput her hair in bunches ?
    INV*INV: gonna [: going to] put her hair in bobbles ?
    CHINicole hair .
    CHII done xxx Coco .
  7. CHIno .
    CHII write Caroline [*] .
    MOT*MOT: you're gonna [: going to] write Caroline's name .
    INVoh .
    INVit's not working properly , is it ?

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_II2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic12a.chaNicole 2;4.212,359772.97

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. gonna7 · 100.0%