PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

14.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,058 words searched).

  1. what are you doing # Sarah ? GLO · eng_USA_Brown/sarah005.cha, line 100 · Sarah 2;03
  2. what day is Satch ["] off ? RUS · eng_USA_Brown/sarah005.cha, line 250 · Sarah 2;03
  3. hey # you eat what you got in your mouth . MOT · eng_USA_Brown/sarah005.cha, line 356 · Sarah 2;03
  4. what am I going to do with all that ? RUS · eng_USA_Brown/sarah005.cha, line 380 · Sarah 2;03
  5. what do you think you're going to do with it . MOT · eng_USA_Brown/sarah005.cha, line 387 · Sarah 2;03
  6. what's up doc . MOT · eng_USA_Brown/sarah005.cha, line 723 · Sarah 2;03
  7. what ? MOT · eng_USA_Brown/sarah005.cha, line 743 · Sarah 2;03
  8. you love what ? MOT · eng_USA_Brown/sarah005.cha, line 747 · Sarah 2;03
  9. what ? MOT · eng_USA_Brown/sarah005.cha, line 948 · Sarah 2;03
  10. what ? MOT · eng_USA_Brown/sarah005.cha, line 988 · Sarah 2;03
  11. what ? MOT · eng_USA_Brown/sarah005.cha, line 1011 · Sarah 2;03
  12. what's your name ? MOT · eng_USA_Brown/sarah005.cha, line 1035 · Sarah 2;03
  13. what ? MOT · eng_USA_Brown/sarah005.cha, line 1085 · Sarah 2;03
  14. what ? MOT · eng_USA_Brown/sarah005.cha, line 1093 · Sarah 2;03
  15. what's that on his mouth ? MOT · eng_USA_Brown/sarah005.cha, line 1284 · Sarah 2;03
  1. eng_USA_Brown/sarah005.cha, line 100 · Sarah, 2;3.26
    RUShmm ?
    CHIBobo@f xxx .
    GLO*GLO: what are you doing # Sarah ?
    CHII .
    CHIyyy .
  2. eng_USA_Brown/sarah005.cha, line 250 · Sarah, 2;3.26
    MOTthere .
    MOTnow you can put it on yourself .
    RUS*RUS: what day is Satch ["] off ?
    MOTtomorrow .
    RUSI xxx Cambridge on Tuesday .
  3. eng_USA_Brown/sarah005.cha, line 356 · Sarah, 2;3.26
    CHI0 .
    CHIxxx .
    MOT*MOT: hey # you eat what you got in your mouth .
    MOThurry up .
    MOTcome on # eat the rest of it .
  4. eng_USA_Brown/sarah005.cha, line 380 · Sarah, 2;3.26
    MOTwant the rest of that soup ?
    MOTdon't you dare .
    RUS*RUS: what am I going to do with all that ?
    MOTyou're going to eat it .
    MOTwhat do you think you're going to do with it .
  5. eng_USA_Brown/sarah005.cha, line 387 · Sarah, 2;3.26
    RUSwhat am I going to do with all that ?
    MOTyou're going to eat it .
    MOT*MOT: what do you think you're going to do with it .
    MOT<want the ice> [/] want the ice+cream now ?
    MOTxxx noodles gone .
  6. eng_USA_Brown/sarah005.cha, line 723 · Sarah, 2;3.26
    CHIBuggsie@f .
    CHIwhat's up doc .
    MOT*MOT: what's up doc .
    RUSxxx .
    CHII'm sleepy .
  7. eng_USA_Brown/sarah005.cha, line 743 · Sarah, 2;3.26
    CHIa easy .
    CHII &l +/.
    MOT*MOT: what ?
    CHII &la +/.
    MOTyou love what ?
  8. eng_USA_Brown/sarah005.cha, line 747 · Sarah, 2;3.26
    MOTwhat ?
    CHII &la +/.
    MOT*MOT: you love what ?
    CHII yyy .
    MOTxxx love Sarah # huh ?
  9. eng_USA_Brown/sarah005.cha, line 948 · Sarah, 2;3.26
    MOTxxx .
    CHIMommy .
    MOT*MOT: what ?
    CHII wan(t) xxx .
    MOTI don't know where you +...
  10. eng_USA_Brown/sarah005.cha, line 988 · Sarah, 2;3.26
    RUSoh+boy .
    CHIMommy .
    MOT*MOT: what ?
    CHIxxx .
    MOTyou were hiding .
  11. eng_USA_Brown/sarah005.cha, line 1011 · Sarah, 2;3.26
    MOToh # aren't you pretty # o:h .
    CHIMommy .
    MOT*MOT: what ?
    CHIxxx .
    RUSwhere are you ?
  12. eng_USA_Brown/sarah005.cha, line 1035 · Sarah, 2;3.26
    CHIyes .
    MOTare you Sarah ?
    MOT*MOT: what's your name ?
    CHII Sarah .
    MOTand how old are you ?
  13. eng_USA_Brown/sarah005.cha, line 1085 · Sarah, 2;3.26
    CHIxxx ?
    CHIha [= what] ?
    MOT*MOT: what ?
    CHIMommy # xxx .
    CHIMommy .
  14. eng_USA_Brown/sarah005.cha, line 1093 · Sarah, 2;3.26
    CHIMommy # xxx .
    CHIMommy .
    MOT*MOT: what ?
    CHIxxx me .
    CHIxxx .
  15. eng_USA_Brown/sarah005.cha, line 1284 · Sarah, 2;3.26
    RUSit's Daddy .
    CHIxxx .
    MOT*MOT: what's that on his mouth ?
    MOThmm ?
    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_Brown14.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah005.chaSarah 2;3.261,058151514.18

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. what15 · 100.0%