PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (363 utterances, 1,686 words searched).

  1. uh well all airplanes actually have wings, Tig . MOT · eng_USA_Demetras_Trevor/m_mot02.cha, line 88 · Michael 2;01
  2. you're not all done . MOT · eng_USA_Demetras_Trevor/m_mot02.cha, line 382 · Michael 2;01
  3. all done with what ? MOT · eng_USA_Demetras_Trevor/m_mot02.cha, line 384 · Michael 2;01
  4. you're not all done with your microphone, are you ? MOT · eng_USA_Demetras_Trevor/m_mot02.cha, line 386 · Michael 2;01
  5. I don't think it fits and all the cars are out in your swimming pool . MOT · eng_USA_Demetras_Trevor/m_mot02.cha, line 927 · Michael 2;01
  6. well, I uh, that's all the cars we have for the train . MOT · eng_USA_Demetras_Trevor/m_mot02.cha, line 938 · Michael 2;01
  1. eng_USA_Demetras_Trevor/m_mot02.cha, line 88 · Michael, 2;1.30
    CHI<mus partz sas> [: most planes have] wings .
    MOTyes .
    MOT*MOT: uh well all airplanes actually have wings, Tig .
    MOTbut, um xxx .
    CHIbomber airkane [: airplane] .
  2. eng_USA_Demetras_Trevor/m_mot02.cha, line 382 · Michael, 2;1.30
    CHIall done ?
    MOTno .
    MOT*MOT: you're not all done .
    MOTall done with what ?
    MOTyou're not all done with your microphone, are you ?
  3. eng_USA_Demetras_Trevor/m_mot02.cha, line 384 · Michael, 2;1.30
    MOTno .
    MOTyou're not all done .
    MOT*MOT: all done with what ?
    MOTyou're not all done with your microphone, are you ?
    CHIhoo:@o I's gonna ge(t) mo(r)e mens .
  4. eng_USA_Demetras_Trevor/m_mot02.cha, line 386 · Michael, 2;1.30
    MOTyou're not all done .
    MOTall done with what ?
    MOT*MOT: you're not all done with your microphone, are you ?
    CHIhoo:@o I's gonna ge(t) mo(r)e mens .
    MOTokay, you get some more men .
  5. eng_USA_Demetras_Trevor/m_mot02.cha, line 927 · Michael, 2;1.30
    MOTyes ?
    CHI&ca caboose xxx da(t) one .
    MOT*MOT: I don't think it fits and all the cars are out in your swimming pool .
    MOTif they float .
    CHIwhe(r)e's (a)no(ther) car ?
  6. eng_USA_Demetras_Trevor/m_mot02.cha, line 938 · Michael, 2;1.30
    CHIwhe(r)e's (a)no(ther) car ?
    CHIwhe(r)e's (a)no(ther) car ?
    MOT*MOT: well, I uh, that's all the cars we have for the train .
    MOTI think the rest of them had an accident .
    CHIwe ge(t) annuder [: another] [: another] car ou(t)side now ?

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. Michael eng_USA_Demetras_Trevor3.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/m_mot02.chaMichael 2;1.301,686663.56

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. all6 · 100.0%