PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 2,466 words searched).

  1. what do you want to draw then ? INV · eng_british_Manchester_II/nic06a.cha, line 718 · Nicole 2;02
  2. don't you want to draw anymore ? INV · eng_british_Manchester_II/nic06a.cha, line 730 · Nicole 2;02
  3. are you going to draw ? MOT · eng_british_Manchester_II/nic06a.cha, line 772 · Nicole 2;02
  4. xxx draw a really good picture , didn't you ? MOT · eng_british_Manchester_II/nic06a.cha, line 804 · Nicole 2;02
  5. you sit in the other chair if you want to draw . MOT · eng_british_Manchester_II/nic06a.cha, line 821 · Nicole 2;02
  6. now what are you going to draw ? MOT · eng_british_Manchester_II/nic06a.cha, line 975 · Nicole 2;02
  1. eng_british_Manchester_II/nic06a.cha, line 718 · Nicole, 2;2.12
    CHIyes .
    CHINicole .
    INV*INV: what do you want to draw then ?
    CHIpie .
    INVanother pie ?
  2. eng_british_Manchester_II/nic06a.cha, line 730 · Nicole, 2;2.12
    INVxxx .
    CHI&a go there .
    INV*INV: don't you want to draw anymore ?
    CHIno .
    INVno ?
  3. eng_british_Manchester_II/nic06a.cha, line 772 · Nicole, 2;2.12
    CHIlook .
    CHIxxx .
    MOT*MOT: are you going to draw ?
    CHIyeah .
    CHIand write .
  4. eng_british_Manchester_II/nic06a.cha, line 804 · Nicole, 2;2.12
    MOTwe'll have to show Rachel that nice picture you did , willn't we before she goes .
    INVwhat was that ?
    MOT*MOT: xxx draw a really good picture , didn't you ?
    MOTof a house .
    MOTdidn't you ?
  5. eng_british_Manchester_II/nic06a.cha, line 821 · Nicole, 2;2.12
    CHINicole chair .
    MOTno you can't get in the chair with Rachel .
    MOT*MOT: you sit in the other chair if you want to draw .
    CHIthere .
    MOTno you can't sit there , can you ?
  6. eng_british_Manchester_II/nic06a.cha, line 975 · Nicole, 2;2.12
    CHIyeah .
    MOTyeah ?
    MOT*MOT: now what are you going to draw ?
    CHIxxx .
    MOTcan you write your name ?

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_II2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic06a.chaNicole 2;2.122,466662.43

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. draw6 · 100.0%