PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

12.35 per 1,000 words of the child (CHI), in 1 of 1 transcripts (307 utterances, 1,215 words searched).

  1. how you make a barn # Mommy ? CHI · eng_USA_Brown/sarah113.cha, line 396
  2. how you make a barn ? CHI · eng_USA_Brown/sarah113.cha, line 398
  3. dis how you make one . CHI · eng_USA_Brown/sarah113.cha, line 506
  4. dat [//] dat's how you make dis # a p@l . CHI · eng_USA_Brown/sarah113.cha, line 508
  5. I know how to make a d@l . CHI · eng_USA_Brown/sarah113.cha, line 541
  6. I know how to (e)rase . CHI · eng_USA_Brown/sarah113.cha, line 634
  7. how dat ? CHI · eng_USA_Brown/sarah113.cha, line 778
  8. I know how to write # somethin(g) . CHI · eng_USA_Brown/sarah113.cha, line 897
  9. how ? CHI · eng_USA_Brown/sarah113.cha, line 908
  10. oh I know how to spell car now # huh ? CHI · eng_USA_Brown/sarah113.cha, line 1005
  11. see # dis is how you make some go now # like that . CHI · eng_USA_Brown/sarah113.cha, line 1026
  12. now how you write a car ? CHI · eng_USA_Brown/sarah113.cha, line 1116
  13. how you draw a car ? CHI · eng_USA_Brown/sarah113.cha, line 1132
  14. um # how you make a bird ? CHI · eng_USA_Brown/sarah113.cha, line 1216
  15. how's it look ? CHI · eng_USA_Brown/sarah113.cha, line 1255
  1. eng_USA_Brown/sarah113.cha, line 396
    CHII +...
    CHIa barn .
    CHI*CHI: how you make a barn # Mommy ?
    CHIhow you make a barn ?
    CHIyou made a mistake again ?
  2. eng_USA_Brown/sarah113.cha, line 398
    CHIa barn .
    CHIhow you make a barn # Mommy ?
    CHI*CHI: how you make a barn ?
    CHIyou made a mistake again ?
    MELmake a what again ?
  3. eng_USA_Brown/sarah113.cha, line 506
    MELgetting better .
    CHIsee # I +...
    CHI*CHI: dis how you make one .
    CHIdat [//] dat's how you make dis # a p@l .
    MELuhhuh .
  4. eng_USA_Brown/sarah113.cha, line 508
    CHIsee # I +...
    CHIdis how you make one .
    CHI*CHI: dat [//] dat's how you make dis # a p@l .
    MELuhhuh .
    CHI(a)n(d) it only has one leg .
  5. eng_USA_Brown/sarah113.cha, line 541
    MELxxx .
    CHIthey good .
    CHI*CHI: I know how to make a d@l .
    MELlet's see .
    MELthis is a g@l ?
  6. eng_USA_Brown/sarah113.cha, line 634
    CHIyou can (e)rase it off # too .
    MELmmhm # like that .
    CHI*CHI: I know how to (e)rase .
    CHIsee xxx put it upside+down (a)n(d) it goes like dis .
    CHI(a)n(d) you (e)rase off .
  7. eng_USA_Brown/sarah113.cha, line 778
    MOTthat's not a c@l .
    CHIoh .
    CHI*CHI: how dat ?
    MOTwhat is it ?
    CHIit's +...
  8. eng_USA_Brown/sarah113.cha, line 897
    CHI(a)n(d) d@l-s too ?
    MOTno # p@l .
    CHI*CHI: I know how to write # somethin(g) .
    CHII did # p@l .
    MOTa@l .
  9. eng_USA_Brown/sarah113.cha, line 908
    CHII did a@l in dere .
    MOTwell that's a different word .
    CHI*CHI: how ?
    MOTp@l .
    CHIlike +...
  10. eng_USA_Brown/sarah113.cha, line 1005
    CHIc@l a@l r@l ?
    MOTno # that spells car # c@l a@l r@l .
    CHI*CHI: oh I know how to spell car now # huh ?
    MELmmhm .
    MELcan you write it ?
  11. eng_USA_Brown/sarah113.cha, line 1026
    MELyeah .
    CHIalright .
    CHI*CHI: see # dis is how you make some go now # like that .
    CHIwant me make it red ?
    MELok .
  12. eng_USA_Brown/sarah113.cha, line 1116
    CHIdoes it have glass over it ?
    MOTxxx .
    CHI*CHI: now how you write a car ?
    MOTc@l a@l r@l # car .
    CHIno # a [/] a # car that moves # like Uncle_Buster's .
  13. eng_USA_Brown/sarah113.cha, line 1132
    MOTyou mean to draw it ?
    CHIa car # draw a car .
    CHI*CHI: how you draw a car ?
    CHIwith glass over it .
    CHIwith the glass .
  14. eng_USA_Brown/sarah113.cha, line 1216
    MOTyeah # yeah I would .
    MOTyeah .
    CHI*CHI: um # how you make a bird ?
    CHII never make one .
    CHIthey sleepin(g) .
  15. eng_USA_Brown/sarah113.cha, line 1255
    CHIthey fly up in there # huh ?
    CHInow # there .
    CHI*CHI: how's it look ?
    MELpretty good .
    MELit's pretty darn good .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown12.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah113.chaSarah 1,215151512.35

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. how15 · 100.0%