PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,402 words searched).

  1. all around em . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 61 · Tim 2;02
  2. all around em . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 99 · Tim 2;02
  3. I'm gonna first [//] first I wanna use em all up . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 310 · Tim 2;02
  4. bring em over here . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 436 · Tim 2;02
  5. how did I used to make em ? MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 555 · Tim 2;02
  6. because she wants em that way . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 914 · Tim 2;02
  7. I don't know if we've got enough for both of em . MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 1205 · Tim 2;02
  8. both of em ? MOT · eng_USA_Demetras_Trevor/t_mot04.cha, line 1229 · Tim 2;02
  1. CHIyes .
    CHIall awound [: around] em .
    MOT*MOT: all around em .
    MOTwhoops .
    MOTthere it is .
  2. CHImm: .
    CHImake uh walk all awound [: around] .
    MOT*MOT: all around em .
    MOTskinny one here .
    MOTand a skinny one there .
  3. MOTthere it is .
    MOTyea !
    MOT*MOT: I'm gonna first [//] first I wanna use em all up .
    MOTbefore we make a top, okay ?
    MOTlet's see .
  4. CHIwhe(r)e's dose ?
    MOT(o)kay .
    MOT*MOT: bring em over here .
    CHI(o)kay .
    CHIhere: .
  5. MOTall right .
    MOTwe'll try it .
    MOT*MOT: how did I used to make em ?
    MOTdo you remember ?
    CHIyes .
  6. MOTbecause Marty said so .
    CHIwhy ?
    MOT*MOT: because she wants em that way .
    MOTokay ?
    MOTcan we do that for Marty ?
  7. CHIdat uh da(t) an(d) a [//] an(d) a dump kwuck [: truck] .
    CHIyes .
    MOT*MOT: I don't know if we've got enough for both of em .
    MOTyou see this is all we have for a floor .
    MOTis these three .
  8. MOTanything else ?
    CHIa &zh zheep [: jeep] .
    MOT*MOT: both of em ?
    CHIyes .
    MOTI don't think we can make the garage big enough for the jeep .

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. Tim eng_USA_Demetras_Trevor5.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/t_mot04.chaTim 2;2.061,402885.71

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. em8 · 100.0%