PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

9.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 845 words searched).

  1. Michael # come over here . MOT · eng_USA_Brown/sarah011.cha, line 245 · Sarah 2;04
  2. Michael # come over here . MOT · eng_USA_Brown/sarah011.cha, line 247 · Sarah 2;04
  3. know who's coming over Nana's today ? MOT · eng_USA_Brown/sarah011.cha, line 791 · Sarah 2;04
  4. yeah # Teppy's over Nana's # but who's coming over Nana's today ? MOT · eng_USA_Brown/sarah011.cha, line 798 · Sarah 2;04
  5. yeah # Teppy's over Nana's # but who's coming over Nana's today ? MOT · eng_USA_Brown/sarah011.cha, line 798 · Sarah 2;04
  6. you gonna go over Nana's (a)n(d) see Robert and Richard ? MOT · eng_USA_Brown/sarah011.cha, line 820 · Sarah 2;04
  7. that goes over . MOT · eng_USA_Brown/sarah011.cha, line 1074 · Sarah 2;04
  8. he's over there somewhere . MOT · eng_USA_Brown/sarah011.cha, line 1268 · Sarah 2;04
  1. CHIxxx Michael .
    MOTMichael .
    MOT*MOT: Michael # come over here .
    MOTMichael # come over here .
    MOTMichael !
  2. MOTMichael .
    MOTMichael # come over here .
    MOT*MOT: Michael # come over here .
    MOTMichael !
    MOTalright now # sit .
  3. MOTknow who's comin(g) today ?
    CHI(wh)o .
    MOT*MOT: know who's coming over Nana's today ?
    MOTxxx .
    CHITeppy !
  4. MOTxxx .
    CHITeppy !
    MOT*MOT: yeah # Teppy's over Nana's # but who's coming over Nana's today ?
    CHIxxx .
    MOTRobert and Richard .
  5. MOTI know it # your cousins # yeah .
    MOTyou gonna go see them ?
    MOT*MOT: you gonna go over Nana's (a)n(d) see Robert and Richard ?
    MOThuh ?
    CHIoh here baby .
  6. MOTbe careful .
    MOTI told you # be careful .
    MOT*MOT: that goes over .
    MOTpow .
    CHIxxx .
  7. CHIxxx two xxx bu(nn)y ?
    MOTwhere's the bunny # I don't know .
    MOT*MOT: he's over there somewhere .
    CHIxxx .
    CHIxxx .

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. Sarah eng_USA_Brown9.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah011.chaSarah 2;4.26845789.47

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. over8 · 100.0%