PHPCLANCHILDES with regular expressions

12 matches in 11 utterances

8.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. how do you know ? GAI · eng_USA_Brown/sarah109.cha, line 34 · Sarah 4;05
  2. that's how you can tell a tiger (be)cause he's got black lines ? MOT · eng_USA_Brown/sarah109.cha, line 49 · Sarah 4;05
  3. I don't know how to open it ? MEL · eng_USA_Brown/sarah109.cha, line 134 · Sarah 4;05
  4. she knows how to open it . MOT · eng_USA_Brown/sarah109.cha, line 136 · Sarah 4;05
  5. see how it's different ? MEL · eng_USA_Brown/sarah109.cha, line 312 · Sarah 4;05
  6. do with your finger on the mirror how it goes . MEL · eng_USA_Brown/sarah109.cha, line 316 · Sarah 4;05
  7. I haven't heard any [//] a word from him either so I don't know how how he's doing . MEL · eng_USA_Brown/sarah109.cha, line 557 · Sarah 4;05
  8. I haven't heard any [//] a word from him either so I don't know how how he's doing . MEL · eng_USA_Brown/sarah109.cha, line 557 · Sarah 4;05
  9. that's how you make a poodle ? MOT · eng_USA_Brown/sarah109.cha, line 733 · Sarah 4;05
  10. how many legs does he have ? MEL · eng_USA_Brown/sarah109.cha, line 857 · Sarah 4;05
  11. how do you think ? MEL · eng_USA_Brown/sarah109.cha, line 1088 · Sarah 4;05
  12. how long does it take to dry ? MEL · eng_USA_Brown/sarah109.cha, line 1262 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 34 · Sarah, 4;5.14
    GAIwhich do you think ?
    CHIa tiger !
    GAI*GAI: how do you know ?
    CHIbecause this is +...
    CHIy(ou) know .
  2. eng_USA_Brown/sarah109.cha, line 49 · Sarah, 4;5.14
    CHIlike that # lines .
    CHIblack lines .
    MOT*MOT: that's how you can tell a tiger (be)cause he's got black lines ?
    CHIyeah .
    MOToh no .
  3. eng_USA_Brown/sarah109.cha, line 134 · Sarah, 4;5.14
    CHIMelissa don't know how to open it .
    MOToh yes she does .
    MEL*MEL: I don't know how to open it ?
    MOTshe knows how to open it .
    MELoh thank+you .
  4. eng_USA_Brown/sarah109.cha, line 136 · Sarah, 4;5.14
    MOToh yes she does .
    MELI don't know how to open it ?
    MOT*MOT: she knows how to open it .
    MELoh thank+you .
    CHII wrapped it for ya .
  5. eng_USA_Brown/sarah109.cha, line 312 · Sarah, 4;5.14
    CHIyeah .
    MELthat's what it should look like # the way you see it in the mirror .
    MEL*MEL: see how it's different ?
    CHIdid it go ?
    MELdo with your finger on the mirror how it goes .
  6. eng_USA_Brown/sarah109.cha, line 316 · Sarah, 4;5.14
    MELsee how it's different ?
    CHIdid it go ?
    MEL*MEL: do with your finger on the mirror how it goes .
    MELyeah # that's right .
    CHIdat's s@l .
  7. eng_USA_Brown/sarah109.cha, line 557 · Sarah, 4;5.14
    MOTbut I didn't hear from Kent .
    MELdidn't you ?
    MEL*MEL: I haven't heard any [//] a word from him either so I don't know how how he's doing .
    MOTI mean he said he'd send a card around Christmas # y(ou) know .
    CHIhe got a book .
  8. eng_USA_Brown/sarah109.cha, line 733 · Sarah, 4;5.14
    CHIsee # dis can be a poodle .
    CHIsee # that's how ya make a poodle .
    MOT*MOT: that's how you make a poodle ?
    CHIyeah .
    CHIthat's how ya make a poodle .
  9. eng_USA_Brown/sarah109.cha, line 857 · Sarah, 4;5.14
    CHI0 .
    MELoh .
    MEL*MEL: how many legs does he have ?
    CHIum # many as raccoons .
    MELwhat ?
  10. eng_USA_Brown/sarah109.cha, line 1088 · Sarah, 4;5.14
    MELyou might not get it out .
    CHIhow # yyy gonna get it out ?
    MEL*MEL: how do you think ?
    CHItake the top off .
    MOTwhy don't you show Melissa Baby_Boo ?
  11. eng_USA_Brown/sarah109.cha, line 1262 · Sarah, 4;5.14
    CHIblow on it .
    CHIthere .
    MEL*MEL: how long does it take to dry ?
    CHIum # eleven minutes .
    MELexactly ?

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_Brown8.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,36311128.80

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. how12 · 100.0%