PHPCLANCHILDES with regular expressions

17 matches in 14 utterances

2.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,461 utterances, 7,511 words searched).

  1. +" thank you very much # Peter # for fixing my train . LOI · eng_USA_Bloom/peter01.cha, line 911 · Peter 1;09
  2. thank you # this one # you want me to read the paper ? LOI · eng_USA_Bloom/peter01.cha, line 1395 · Peter 1;09
  3. oh # thank you # let's see what we have in there . LOI · eng_USA_Bloom/peter01.cha, line 1685 · Peter 1;09
  4. thank you . PAT · eng_USA_Bloom/peter01.cha, line 2133 · Peter 1;09
  5. thank you # thank you # now I have three men . PAT · eng_USA_Bloom/peter01.cha, line 2139 · Peter 1;09
  6. thank you # thank you # now I have three men . PAT · eng_USA_Bloom/peter01.cha, line 2139 · Peter 1;09
  7. thank you # you gonna right up here ? LOI · eng_USA_Bloom/peter01.cha, line 2802 · Peter 1;09
  8. thank you . LOI · eng_USA_Bloom/peter01.cha, line 2900 · Peter 1;09
  9. thank you # thank you # but I don't want any milk # that's your milk . LOI · eng_USA_Bloom/peter01.cha, line 2959 · Peter 1;09
  10. thank you # thank you # but I don't want any milk # that's your milk . LOI · eng_USA_Bloom/peter01.cha, line 2959 · Peter 1;09
  11. oh # it's your lunch # that's your hamburger # you eat it # thank you . LOI · eng_USA_Bloom/peter01.cha, line 2963 · Peter 1;09
  12. oh thank you # are you all finished ? LOI · eng_USA_Bloom/peter01.cha, line 3150 · Peter 1;09
  13. thank you xxx # would you like me to fix it ? LOI · eng_USA_Bloom/peter01.cha, line 3853 · Peter 1;09
  14. thank you # that's nice # thank you . PAT · eng_USA_Bloom/peter01.cha, line 6068 · Peter 1;09
  15. thank you # that's nice # thank you . PAT · eng_USA_Bloom/peter01.cha, line 6068 · Peter 1;09
  16. this one # and the black one # and the man # thank you # now I'll put this little man in the bag ## now let's put the wh… PAT · eng_USA_Bloom/peter01.cha, line 6213 · Peter 1;09
  17. oh thank you ## oop # you missed # you want to put the slide up again ? PAT · eng_USA_Bloom/peter01.cha, line 6312 · Peter 1;09
  1. eng_USA_Bloom/peter01.cha, line 911 · Peter, 1;9.08
    LOIfix it # yes # and here's the train man [= a little wooden man] .
    LOIhe says +"/.
    LOI*LOI: +" thank you very much # Peter # for fixing my train .
    CHIhuh # train .
    CHIxxx # xxx .
  2. eng_USA_Bloom/peter01.cha, line 1395 · Peter, 1;9.08
    CHIpaper .
    LOIpaper # that's a newspaper .
    LOI*LOI: thank you # this one # you want me to read the paper ?
    CHIhuh # book .
    LOIbook ?
  3. eng_USA_Bloom/peter01.cha, line 1685 · Peter, 1;9.08
    LOIis that bag heavy ?
    LOIcan you bring it over here ?
    LOI*LOI: oh # thank you # let's see what we have in there .
    CHIhmm .
    LOIhere's your airplane # see the propeller turning ?
  4. eng_USA_Bloom/peter01.cha, line 2133 · Peter, 1;9.08
    PATthat's sounds just like a train .
    CHItrain # xxx .
    PAT*PAT: thank you .
    CHIthank you .
    PATthank you # thank you # now I have three men .
  5. eng_USA_Bloom/peter01.cha, line 2139 · Peter, 1;9.08
    PATthank you .
    CHIthank you .
    PAT*PAT: thank you # thank you # now I have three men .
    PATfour +...
    CHIman .
  6. eng_USA_Bloom/peter01.cha, line 2802 · Peter, 1;9.08
    LOIno # I think you better write on your paper # ok .
    PAThere's Peter's paper # here's Peter's paper .
    LOI*LOI: thank you # you gonna right up here ?
    CHIyyy .
    LOIyou gonna write on your paper up here ?
  7. eng_USA_Bloom/peter01.cha, line 2900 · Peter, 1;9.08
    LOIyou gonna open the door Peter ?
    LOIlet me in .
    LOI*LOI: thank you .
    LOIhello # what you doing ?
    CHIyyy .
  8. eng_USA_Bloom/peter01.cha, line 2959 · Peter, 1;9.08
    LOIyeah ## are you wearing an apron ?
    CHImm # mm .
    LOI*LOI: thank you # thank you # but I don't want any milk # that's your milk .
    LOIoh # it's your lunch # that's your hamburger # you eat it # thank you .
    LOIwould you like some cottage cheese ?
  9. eng_USA_Bloom/peter01.cha, line 2963 · Peter, 1;9.08
    CHImm # mm .
    LOIthank you # thank you # but I don't want any milk # that's your milk .
    LOI*LOI: oh # it's your lunch # that's your hamburger # you eat it # thank you .
    LOIwould you like some cottage cheese ?
    LOImm # good # why don't you take some now ?
  10. eng_USA_Bloom/peter01.cha, line 3150 · Peter, 1;9.08
    MOThow (a)bout finishing your milk .
    MOTwhat's the problem Peter ?
    LOI*LOI: oh thank you # are you all finished ?
    LOIare you drunk ?
    PATare you very sleepy ?
  11. eng_USA_Bloom/peter01.cha, line 3853 · Peter, 1;9.08
    PAToh it's broken !
    CHIbroken .
    LOI*LOI: thank you xxx # would you like me to fix it ?
    LOIthere # you can roll the wheel down .
    CHIxxx .
  12. eng_USA_Bloom/peter01.cha, line 6068 · Peter, 1;9.08
    CHImm # chair # xxx # xxx # xxx # xxx # yyy # yyy # xxx # yyy .
    PATthere # are you gonna put it back on the chair for me ?
    PAT*PAT: thank you # that's nice # thank you .
    CHIxxx # xxx .
    MOTwhat's that ?
  13. eng_USA_Bloom/peter01.cha, line 6213 · Peter, 1;9.08
    CHImouse ## xxx .
    PATyou wan(t) (t)a put the sheep in the bag ?
    PAT*PAT: this one # and the black one # and the man # thank you # now I'll put this little man in the bag ## now let's put the wheels in the bag # let's put the wheels in the bag .
    PATwhere are the other wheels ?
    MOTbehind you # Peter .
  14. eng_USA_Bloom/peter01.cha, line 6312 · Peter, 1;9.08
    MOTwhy don't you help her put the blocks in the can ?
    LOIshe needs some help # here's two more .
    PAT*PAT: oh thank you ## oop # you missed # you want to put the slide up again ?
    PAToh # you wan(t) (t)a play with the car again ## .
    PATthere [>] .

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. Peter eng_USA_Bloom2.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter01.chaPeter 1;9.087,51114172.26

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. thank17 · 100.0%