PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (546 utterances, 1,903 words searched).

  1. tell Caroline what [/] what you did when we were at the park . MOT · eng_british_Manchester_I/becky27a.cha, line 40 · Becky 2;09
  2. were you ? INV · eng_british_Manchester_I/becky27a.cha, line 55 · Becky 2;09
  3. you were having that , were you ? MOT · eng_british_Manchester_I/becky27a.cha, line 214 · Becky 2;09
  4. you were having that , were you ? MOT · eng_british_Manchester_I/becky27a.cha, line 214 · Becky 2;09
  5. I think you were right . MOT · eng_british_Manchester_I/becky27a.cha, line 912 · Becky 2;09
  6. you <were right and I was wrong> [>] . INV · eng_british_Manchester_I/becky27a.cha, line 916 · Becky 2;09
  7. there were +//. MOT · eng_british_Manchester_I/becky27a.cha, line 1813 · Becky 2;09
  1. MOThe's not catching the mouse again .
    MOTno .
    MOT*MOT: tell Caroline what [/] what you did when we were at the park .
    CHIno .
    CHIwant open this .
  2. CHIhad a picnic .
    CHIand I was hungry .
    INV*INV: were you ?
    CHIyes .
    CHIand we had +//.
  3. CHIsay fall then .
    CHII was having that .
    MOT*MOT: you were having that , were you ?
    MOToh sorry .
    MOToh .
  4. MOTxxx .
    MOTI think it's a wheel .
    MOT*MOT: I think you were right .
    INVyeah .
    INVyou <were right and I was wrong> [>] .
  5. MOTI think you were right .
    INVyeah .
    INV*INV: you <were right and I was wrong> [>] .
    MOT<if you look> [<] at the picture on here .
    CHIyeah .
  6. MOTI did find them , Becky .
    CHIwhere ?
    MOT*MOT: there were +//.
    MOTI'd left them in the car door .
    CHIthey was [*] in the car door .

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. Becky eng_british_Manchester_I3.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky27a.chaBecky 2;9.061,903673.68

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. were7 · 100.0%