PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,809 words searched).

  1. too cold for her dress , is it ? MOT · eng_british_Manchester_II/nic26a.cha, line 96 · Nicole 2;09
  2. where did I put her dress ? MOT · eng_british_Manchester_II/nic26a.cha, line 538 · Nicole 2;09
  3. do you want her dress on or are you going to put her +/. MOT · eng_british_Manchester_II/nic26a.cha, line 542 · Nicole 2;09
  4. are we going to go and dress dolly ? MOT · eng_british_Manchester_II/nic26a.cha, line 1658 · Nicole 2;09
  5. shall I bring her here so we can dress her ? MOT · eng_british_Manchester_II/nic26a.cha, line 1661 · Nicole 2;09
  1. eng_british_Manchester_II/nic26a.cha, line 96 · Nicole, 2;9.17
    CHINicole [/] Nicole wants jumper and trousers on .
    CHIbit too cold for that .
    MOT*MOT: too cold for her dress , is it ?
    CHIyeah .
    MOTyeah .
  2. eng_british_Manchester_II/nic26a.cha, line 538 · Nicole, 2;9.17
    CHIwhere is her dress ?
    MOToh .
    MOT*MOT: where did I put her dress ?
    MOTI [/] I think I pop [/] popped it down there .
    MOTdo you want her dress on or are you going to put her +/.
  3. eng_british_Manchester_II/nic26a.cha, line 542 · Nicole, 2;9.17
    MOTwhere did I put her dress ?
    MOTI [/] I think I pop [/] popped it down there .
    MOT*MOT: do you want her dress on or are you going to put her +/.
    CHIput her dress on .
    MOTwant to put that on , are you ?
  4. eng_british_Manchester_II/nic26a.cha, line 1658 · Nicole, 2;9.17
    MOTnow .
    MOTwhat're you going +/.
    MOT*MOT: are we going to go and dress dolly ?
    MOTshall I bring her here so we can dress her ?
    CHIyeah .
  5. eng_british_Manchester_II/nic26a.cha, line 1661 · Nicole, 2;9.17
    MOTwhat're you going +/.
    MOTare we going to go and dress dolly ?
    MOT*MOT: shall I bring her here so we can dress her ?
    CHIyeah .
    CHIyes .

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_II2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic26a.chaNicole 2;9.171,809552.76

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. dress5 · 100.0%