PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 848 words searched).

  1. are we going to do this picture first ? MOT · eng_british_Manchester_II/nic14b.cha, line 57 · Nicole 2;05
  2. are you going to dip your brush in that orange ? MOT · eng_british_Manchester_II/nic14b.cha, line 288 · Nicole 2;05
  3. gonna [: going to] move up ? MOT · eng_british_Manchester_II/nic14b.cha, line 361 · Nicole 2;05
  4. be going to play+group , willn't you ? MOT · eng_british_Manchester_II/nic14b.cha, line 616 · Nicole 2;05
  5. because you like going to Melly's , don't you ? MOT · eng_british_Manchester_II/nic14b.cha, line 716 · Nicole 2;05
  6. are you going to count the bags , look ? MOT · eng_british_Manchester_II/nic14b.cha, line 899 · Nicole 2;05
  7. what are you going to draw ? MOT · eng_british_Manchester_II/nic14b.cha, line 911 · Nicole 2;05
  1. MOTthat's right .
    MOTthen you have to choose a color .
    MOT*MOT: are we going to do this picture first ?
    CHIyeah .
    MOTlet Mummy show you what you do .
  2. CHIcolor in .
    CHIxxx .
    MOT*MOT: are you going to dip your brush in that orange ?
    CHIyeah .
    CHIxxx .
  3. CHIxxx .
    MOTxxx .
    MOT*MOT: gonna [: going to] move up ?
    CHIyes .
    MOTshall Mummy paint it in for you ?
  4. MOTa lot of people xxx .
    MOTxxx .
    MOT*MOT: be going to play+group , willn't you ?
    MOTxxx .
    CHIyeah .
  5. MOTonce you've been xxx .
    MOTI'm sure you'll like it .
    MOT*MOT: because you like going to Melly's , don't you ?
    MOTit'll be just like Melly's in a big group .
    CHIxxx .
  6. CHIxxx .
    MOTxxx .
    MOT*MOT: are you going to count the bags , look ?
    MOThow many .
    CHIxxx .
  7. MOTcome on then .
    MOTyou go indoors .
    MOT*MOT: what are you going to draw ?
    CHIxxx .
    MOTwhat ?

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_II8.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic14b.chaNicole 2;5.05848778.25

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. going7 · 100.0%