PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,304 words searched).

  1. what's in the suit case ? GLO · eng_USA_Brown/sarah048.cha, line 206 · Sarah 3;02
  2. yeah # in her head . GLO · eng_USA_Brown/sarah048.cha, line 349 · Sarah 3;02
  3. come in (a)n(d) xxx . MOT · eng_USA_Brown/sarah048.cha, line 764 · Sarah 3;02
  4. come on in . GLO · eng_USA_Brown/sarah048.cha, line 785 · Sarah 3;02
  5. who did you bring in ? GLO · eng_USA_Brown/sarah048.cha, line 797 · Sarah 3;02
  6. she kept <&in> [//] I'm going to give this ta Donna # this is Donna . MOT · eng_USA_Brown/sarah048.cha, line 894 · Sarah 3;02
  7. she put the kleenex in the bucket and the bucket's full . MOT · eng_USA_Brown/sarah048.cha, line 1218 · Sarah 3;02
  1. CHIyyy case .
    GLOa suit case ?
    GLO*GLO: what's in the suit case ?
    GLObring it over here so I can see .
    CHIxxx here .
  2. GLOyeah # she has a bone .
    GLOshe has a bone ?
    GLO*GLO: yeah # in her head .
    GLOo:h # yes # there .
    GLO+" what's inside the suitcase Sarah ?
  3. MOTxxx .
    NEIgive me my garden set .
    MOT*MOT: come in (a)n(d) xxx .
    NEIhuh ?
    MOTno uh .
  4. GLOSarah .
    CHIwhat ?
    GLO*GLO: come on in .
    MOTshe was here just forty minutes ago .
    CHI0 [=! yelling like an Indian] .
  5. MOTxxx .
    MOTI told her to go up to Carol's +...
    GLO*GLO: who did you bring in ?
    CHItha(t)'s Donna .
    GLOcome on you stay here and talk to me .
  6. MOTthat's my cousin # but she didn't .
    MOTshe named the doll Donna .
    MOT*MOT: she kept <&in> [//] I'm going to give this ta Donna # this is Donna .
    MOTno # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna .
    MOTI'm sayin(g) it isn't Donna # xxx .
  7. CHIshe slide off .
    MOTshe slide off .
    MOT*MOT: she put the kleenex in the bucket and the bucket's full .
    CHI(w)ho(le) [/] # (w)ho(le) # bunch .
    MOTyeah # ya got a whole whole bunch # huh ?

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_Brown5.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah048.chaSarah 3;2.101,304775.37

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. in7 · 100.0%