PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

16.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. no thank+you . MOT · eng_USA_Brown/sarah039.cha, line 36 · Sarah 2;11
  2. no . MOT · eng_USA_Brown/sarah039.cha, line 52 · Sarah 2;11
  3. no [?] ! GRA · eng_USA_Brown/sarah039.cha, line 85 · Sarah 2;11
  4. <no> [<] ! MOT · eng_USA_Brown/sarah039.cha, line 87 · Sarah 2;11
  5. no # you're not gonna be that many . MOT · eng_USA_Brown/sarah039.cha, line 135 · Sarah 2;11
  6. no . MOT · eng_USA_Brown/sarah039.cha, line 366 · Sarah 2;11
  7. no . COU · eng_USA_Brown/sarah039.cha, line 609 · Sarah 2;11
  8. no ? MOT · eng_USA_Brown/sarah039.cha, line 638 · Sarah 2;11
  9. we won't buy you no more toys ? MOT · eng_USA_Brown/sarah039.cha, line 642 · Sarah 2;11
  10. no ? MOT · eng_USA_Brown/sarah039.cha, line 859 · Sarah 2;11
  11. no . MOT · eng_USA_Brown/sarah039.cha, line 920 · Sarah 2;11
  12. no # a saw . MOT · eng_USA_Brown/sarah039.cha, line 929 · Sarah 2;11
  13. no # you don't do it to the stove either . MOT · eng_USA_Brown/sarah039.cha, line 960 · Sarah 2;11
  14. no . MOT · eng_USA_Brown/sarah039.cha, line 972 · Sarah 2;11
  1. eng_USA_Brown/sarah039.cha, line 36 · Sarah, 2;11.30
    CHIcake .
    CHIwant have some ?
    MOT*MOT: no thank+you .
    CHIwhere you get some # home ?
    CHIwhere ?
  2. eng_USA_Brown/sarah039.cha, line 52 · Sarah, 2;11.30
    MOTwho gave you this [= toy nurse's kit] ?
    CHIBessa [?] .
    MOT*MOT: no .
    CHIyes .
    MOTDoctor Marx .
  3. eng_USA_Brown/sarah039.cha, line 85 · Sarah, 2;11.30
    GRAtell Courtney his name .
    CHIa Mike .
    GRA*GRA: no [?] !
    MOT<no> [<] !
    MOTwhat's his name ?
  4. eng_USA_Brown/sarah039.cha, line 87 · Sarah, 2;11.30
    CHIa Mike .
    GRAno [?] !
    MOT*MOT: <no> [<] !
    MOTwhat's his name ?
    GRAwhat's this dog's name ?
  5. eng_USA_Brown/sarah039.cha, line 135 · Sarah, 2;11.30
    CHII [/] # <I want> [/] # I want .
    CHIdis many !
    MOT*MOT: no # you're not gonna be that many .
    MOTyou're only gonna be that many .
    MOThow many is that # count em .
  6. eng_USA_Brown/sarah039.cha, line 366 · Sarah, 2;11.30
    MOTCourtney wasn't there .
    CHIyeah .
    MOT*MOT: no .
    CHIyeah .
    MOTI [/] # I didn't come to your party .
  7. eng_USA_Brown/sarah039.cha, line 609 · Sarah, 2;11.30
    MOT0 .
    CHIyou can't [?] fix it ?
    COU*COU: no .
    CHIno ?
    MOTlet Daddy fix it .
  8. eng_USA_Brown/sarah039.cha, line 638 · Sarah, 2;11.30
    MOTshall we give some of your toys to another little girl ?
    CHI0 .
    MOT*MOT: no ?
    MOTdon't you think you have enough toys ?
    MOTwe won't buy you no more toys ?
  9. eng_USA_Brown/sarah039.cha, line 642 · Sarah, 2;11.30
    MOTno ?
    MOTdon't you think you have enough toys ?
    MOT*MOT: we won't buy you no more toys ?
    CHIYogi_Bear .
    CHIYogi_Bear .
  10. eng_USA_Brown/sarah039.cha, line 859 · Sarah, 2;11.30
    MOTcleaning your room ?
    CHIyeah # no .
    MOT*MOT: no ?
    CHImonkey .
    MOTwhat's that ?
  11. eng_USA_Brown/sarah039.cha, line 920 · Sarah, 2;11.30
    MOTwhat's that ?
    CHIum # cake .
    MOT*MOT: no .
    CHIwhat ?
    MOTwhat'd I tell you it was ?
  12. eng_USA_Brown/sarah039.cha, line 929 · Sarah, 2;11.30
    MOTwhat'd I tell you it was ?
    CHIa saucer .
    MOT*MOT: no # a saw .
    CHIa saw .
    MOTyeah .
  13. eng_USA_Brown/sarah039.cha, line 960 · Sarah, 2;11.30
    MOTdon't cut the refrigerator !
    CHIcut dat ?
    MOT*MOT: no # you don't do it to the stove either .
    MOTdo it to the little chair if you want # but don't do it to the +...
    CHIdid dat ?
  14. eng_USA_Brown/sarah039.cha, line 972 · Sarah, 2;11.30
    CHInow ?
    CHInow ?
    MOT*MOT: no .
    CHII cut dis .
    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_Brown16.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859141416.30

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. no14 · 100.0%