PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (655 utterances, 2,390 words searched).

  1. done it . MOT · eng_british_Manchester_II/nic17a.cha, line 522 · Nicole 2;06
  2. you've done it , have you ? MOT · eng_british_Manchester_II/nic17a.cha, line 526 · Nicole 2;06
  3. what've I done wrong ? MOT · eng_british_Manchester_II/nic17a.cha, line 931 · Nicole 2;06
  4. what've I done wrong ? MOT · eng_british_Manchester_II/nic17a.cha, line 933 · Nicole 2;06
  5. what have I done wrong ? MOT · eng_british_Manchester_II/nic17a.cha, line 991 · Nicole 2;06
  6. well done . INV · eng_british_Manchester_II/nic17a.cha, line 1051 · Nicole 2;06
  1. eng_british_Manchester_II/nic17a.cha, line 522 · Nicole, 2;6.16
    CHIdone it .
    MOTmmhm .
    MOT*MOT: done it .
    MOToh .
    MOTyou've done it , have you ?
  2. eng_british_Manchester_II/nic17a.cha, line 526 · Nicole, 2;6.16
    MOTdone it .
    MOToh .
    MOT*MOT: you've done it , have you ?
    MOTI've got a knife and a spoon .
    CHINicole got a +...
  3. eng_british_Manchester_II/nic17a.cha, line 931 · Nicole, 2;6.16
    MOTum .
    MOTwhy [/] why [/] why are you smacking me ?
    MOT*MOT: what've I done wrong ?
    MOTwhat've I done wrong ?
    MOTI shall get my revenge .
  4. eng_british_Manchester_II/nic17a.cha, line 933 · Nicole, 2;6.16
    MOTwhy [/] why [/] why are you smacking me ?
    MOTwhat've I done wrong ?
    MOT*MOT: what've I done wrong ?
    MOTI shall get my revenge .
    CHIoh .
  5. eng_british_Manchester_II/nic17a.cha, line 991 · Nicole, 2;6.16
    MOTyeah .
    MOTwhy're you smacking me .
    MOT*MOT: what have I done wrong ?
    MOTif I know what I've been smacked for <I can> [/] I can cope with it .
    MOTno .
  6. eng_british_Manchester_II/nic17a.cha, line 1051 · Nicole, 2;6.16
    MOTthere it is .
    INVoh .
    INV*INV: well done .
    MOTthere .
    CHIthere .

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_II2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17a.chaNicole 2;6.162,390662.51

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. done6 · 100.0%