PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (714 utterances, 3,222 words searched).

  1. what do I have in my hand ? URS · eng_USA_Brown/adam19.cha, line 329 · Adam 3;00
  2. that's my pen . URS · eng_USA_Brown/adam19.cha, line 2252 · Adam 3;00
  3. it came from my purse . URS · eng_USA_Brown/adam19.cha, line 2258 · Adam 3;00
  4. whose d(o) you think it is in my [!!] purse ? URS · eng_USA_Brown/adam19.cha, line 2292 · Adam 3;00
  5. that's my comb . URS · eng_USA_Brown/adam19.cha, line 2304 · Adam 3;00
  6. is my hair blue ? URS · eng_USA_Brown/adam19.cha, line 2323 · Adam 3;00
  7. oh # my goodness . MOT · eng_USA_Brown/adam19.cha, line 3744 · Adam 3;00
  8. eat my lunch ? MOT · eng_USA_Brown/adam19.cha, line 3977 · Adam 3;00
  9. I've finished my lunch . MOT · eng_USA_Brown/adam19.cha, line 3995 · Adam 3;00
  1. URSAdam .
    CHIyes .
    URS*URS: what do I have in my hand ?
    CHItwo raisins .
    URStwo raisins !
  2. URShere's a pen for you .
    CHIwho pen dat ?
    URS*URS: that's my pen .
    CHIdat your pen .
    CHIwhere dat come from # from you ?
  3. CHIdat your pen .
    CHIwhere dat come from # from you ?
    URS*URS: it came from my purse .
    CHII want paper .
    URSalright .
  4. URSwhose would it be ?
    CHIhmm ?
    URS*URS: whose d(o) you think it is in my [!!] purse ?
    CHIum # Daddy's .
    URSno .
  5. CHIwho is it ?
    CHIwho dat ?
    URS*URS: that's my comb .
    CHIle(t) me comb it .
    CHIle(t) me comb mine .
  6. URSit's black .
    CHIwhat # your hair's blue ?
    URS*URS: is my hair blue ?
    CHIyeah .
    URSoh .
  7. MOThow many ?
    CHIthree # four # five # six .
    MOT*MOT: oh # my goodness .
    MOTwhat happened to one # two # three ?
    CHIwh(at) (h)appen to one # two # three ?
  8. CHIeat your lunch .
    CHIMommy # eat your lunch .
    MOT*MOT: eat my lunch ?
    CHIyes .
    MOTand then may I look ?
  9. CHIlook .
    MOTmay I look now ?
    MOT*MOT: I've finished my lunch .
    MOTlook at all the nice things .
    CHIplay with dose things .

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. Adam eng_USA_Brown2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam19.chaAdam 3;0.113,222992.79

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. my9 · 100.0%