PHPCLANCHILDES with regular expressions

16 matches in 15 utterances

2.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,379 utterances, 6,649 words searched).

  1. mm # that's good # did you put milk and sugar in it ? MOT · eng_USA_Bloom/peter08.cha, line 933 · Peter 2;01
  2. thank you # thank you # mm that's good # you make good coffee . PAT · eng_USA_Bloom/peter08.cha, line 993 · Peter 2;01
  3. good # mm . PAT · eng_USA_Bloom/peter08.cha, line 1028 · Peter 2;01
  4. mm . LOI · eng_USA_Bloom/peter08.cha, line 1218 · Peter 2;01
  5. mm # is that a car ? LOI · eng_USA_Bloom/peter08.cha, line 2219 · Peter 2;01
  6. mm # that's a wheel . PAT · eng_USA_Bloom/peter08.cha, line 3183 · Peter 2;01
  7. mm # turn it some more # that's right . PAT · eng_USA_Bloom/peter08.cha, line 4067 · Peter 2;01
  8. mm # mm . PAT · eng_USA_Bloom/peter08.cha, line 4438 · Peter 2;01
  9. mm # mm . PAT · eng_USA_Bloom/peter08.cha, line 4438 · Peter 2;01
  10. mm . PAT · eng_USA_Bloom/peter08.cha, line 4442 · Peter 2;01
  11. mm ! PAT · eng_USA_Bloom/peter08.cha, line 4749 · Peter 2;01
  12. mm # very good . LOI · eng_USA_Bloom/peter08.cha, line 5049 · Peter 2;01
  13. mm you got it # ok # bring it over here . PAT · eng_USA_Bloom/peter08.cha, line 5492 · Peter 2;01
  14. mm . LOI · eng_USA_Bloom/peter08.cha, line 5913 · Peter 2;01
  15. mm # that's what I said . LOI · eng_USA_Bloom/peter08.cha, line 6257 · Peter 2;01
  16. mm # that handle's in your way . PAT · eng_USA_Bloom/peter08.cha, line 7457 · Peter 2;01
  1. CHIhere mommy .
    MOTthank you !
    MOT*MOT: mm # that's good # did you put milk and sugar in it ?
    MOTdid you put milk and sugar in it ?
    MOTthank you .
  2. CHIhmm .
    LOImaybe Patsy wants some .
    PAT*PAT: thank you # thank you # mm that's good # you make good coffee .
    CHIgood .
    PATmmhm # thank you very much .
  3. CHIgood [>] .
    MOTPeter [<] .
    PAT*PAT: good # mm .
    CHIall gone .
    PATmmhm it's all gone .
  4. LOIthe barrels are on the train .
    CHIyyy .
    LOI*LOI: mm .
    CHIright there # ride choo+choo train # right there # ride choo+choo train .
    LOIwho's riding the choo+choo train ?
  5. CHImake a &cr .
    CHIxxx # make a car # sit down make a car .
    LOI*LOI: mm # is that a car ?
    CHIno .
    LOIwhat is it ?
  6. LOIwhere's the hood ?
    CHIright there .
    PAT*PAT: mm # that's a wheel .
    CHIwhere's hood # right there .
    LOI<that's a bolt> [>] .
  7. PATyou hold it # hold it # this way .
    CHImore # turn .
    PAT*PAT: mm # turn it some more # that's right .
    CHImore .
    PATthat's right # just keep going # turn the screw some more .
  8. CHIthere # there .
    PAToh # thank you # thank you # I'll stir it up # here I'll stir it up with this .
    PAT*PAT: mm # mm .
    CHImm .
    PATmm .
  9. PATmm # mm .
    CHImm .
    PAT*PAT: mm .
    CHIwant sugar an(d) milk .
    PATwhat ?
  10. PAToh # you're gonna stir it for me ?
    PATthank you ## is it good ?
    PAT*PAT: mm !
    PATdelicious # watch this # let me see if I can do this little thing .
    PATgo bring me the green one over there # it's on the desk next to the tape recorder .
  11. CHIok xxx .
    LOIyeah # here's a test .
    LOI*LOI: mm # very good .
    CHIvery good .
    LOIyes # very good # very good tea .
  12. PATwell # get your magazine .
    CHIxxx ## that one # that one # that one .
    PAT*PAT: mm you got it # ok # bring it over here .
    PATlook at the mommy climbing in the box .
    PATok # put it on the floor .
  13. CHI0 [=! laughs] .
    LOIthat was beautiful .
    LOI*LOI: mm .
    PATthat's nice # you play very gently .
    CHI0 [=! laughs] .
  14. CHIyyy # ow !
    CHIa said .
    LOI*LOI: mm # that's what I said .
    CHIxxx ## pencil .
    LOIpencil ?
  15. PATyou don't like that handle do you ?
    CHImove that thing off # move that thing off .
    PAT*PAT: mm # that handle's in your way .
    CHIme move that thing off .
    PATsure makes it easier for us but you don't like it .

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_Bloom2.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter08.chaPeter 2;1.186,64915162.41

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. mm16 · 100.0%