PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 2,310 words searched).

  1. what are you putting in my coffee ? URS · eng_USA_Brown/adam24.cha, line 1706 · Adam 3;02
  2. I don't want meat in my coffee ! URS · eng_USA_Brown/adam24.cha, line 1712 · Adam 3;02
  3. tea and coffee both ? URS · eng_USA_Brown/adam24.cha, line 1720 · Adam 3;02
  4. thank you for the coffee . MOT · eng_USA_Brown/adam24.cha, line 1827 · Adam 3;02
  5. I have some coffee # thank you . URS · eng_USA_Brown/adam24.cha, line 2897 · Adam 3;02
  6. Urs(u)la # would you like more coffee ? MOT · eng_USA_Brown/adam24.cha, line 3087 · Adam 3;02
  7. you don't like coffee . MOT · eng_USA_Brown/adam24.cha, line 3091 · Adam 3;02
  1. MOTyou don't have anything to pour it in .
    CHI0 .
    URS*URS: what are you putting in my coffee ?
    CHImeat .
    URSI don't want meat in my coffee !
  2. URSwhat are you putting in my coffee ?
    CHImeat .
    URS*URS: I don't want meat in my coffee !
    CHIyeah .
    CHII wan(t) put some sugar .
  3. CHII wan(t) put some sugar .
    CHII want put some tea .
    URS*URS: tea and coffee both ?
    CHIit's going spray .
    URSit is .
  4. MOTwhat is this ?
    CHIthank me for the coffee .
    MOT*MOT: thank you for the coffee .
    MOTd(o) you know what this is ?
    CHIwe goin(g) crash in together # uh .
  5. CHIyou want some pineapple juice ?
    CHIyou want some [/] # some tea ?
    URS*URS: I have some coffee # thank you .
    CHIoh .
    CHIwhat he got ?
  6. CHIone # two # three # four .
    CHIno # dis not shirt hanging .
    MOT*MOT: Urs(u)la # would you like more coffee ?
    CHIcoffee # I don't want coffee .
    MOTyou don't like coffee .
  7. MOTUrs(u)la # would you like more coffee ?
    CHIcoffee # I don't want coffee .
    MOT*MOT: you don't like coffee .
    CHII drink some # in Adam's house .
    MOTin Adam's house ?

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_Brown3.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam24.chaAdam 3;2.092,310773.03

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. coffee7 · 100.0%