PHPCLANCHILDES with regular expressions

18 matches in 15 utterances

17.87 per 1,000 words of the child (CHI), in 1 of 1 transcripts (426 utterances, 1,007 words searched).

  1. I do that . CHI · eng_british_Manchester_I/becky18a.cha, line 200 · Becky 2;06
  2. I do . CHI · eng_british_Manchester_I/becky18a.cha, line 846 · Becky 2;06
  3. I have to do it . CHI · eng_british_Manchester_I/becky18a.cha, line 1032 · Becky 2;06
  4. I do . CHI · eng_british_Manchester_I/becky18a.cha, line 1129 · Becky 2;06
  5. I can't do it . CHI · eng_british_Manchester_I/becky18a.cha, line 1550 · Becky 2;06
  6. <did you do> [/] did you do this eyes ? CHI · eng_british_Manchester_I/becky18a.cha, line 1581 · Becky 2;06
  7. <did you do> [/] did you do this eyes ? CHI · eng_british_Manchester_I/becky18a.cha, line 1581 · Becky 2;06
  8. um did you do eye ? CHI · eng_british_Manchester_I/becky18a.cha, line 1587 · Becky 2;06
  9. did you do these eyes ? CHI · eng_british_Manchester_I/becky18a.cha, line 1589 · Becky 2;06
  10. <do you> [/] do you have these ? CHI · eng_british_Manchester_I/becky18a.cha, line 1683 · Becky 2;06
  11. <do you> [/] do you have these ? CHI · eng_british_Manchester_I/becky18a.cha, line 1683 · Becky 2;06
  12. <do you need a> [/] do you need a nose ? CHI · eng_british_Manchester_I/becky18a.cha, line 1701 · Becky 2;06
  13. <do you need a> [/] do you need a nose ? CHI · eng_british_Manchester_I/becky18a.cha, line 1701 · Becky 2;06
  14. do you need some +//. CHI · eng_british_Manchester_I/becky18a.cha, line 1762 · Becky 2;06
  15. and do you need some that . CHI · eng_british_Manchester_I/becky18a.cha, line 1774 · Becky 2;06
  16. do you need some ears ? CHI · eng_british_Manchester_I/becky18a.cha, line 1776 · Becky 2;06
  17. do you know where ? CHI · eng_british_Manchester_I/becky18a.cha, line 1784 · Becky 2;06
  18. I do . CHI · eng_british_Manchester_I/becky18a.cha, line 1905 · Becky 2;06
  1. MOTshall I take that off ?
    CHIno .
    CHI*CHI: I do that .
    MOTyou take it off .
    MOTput it back then .
  2. MOThmm .
    CHIyes .
    CHI*CHI: I do .
    MOTput this round your neck then .
    CHI<I don't> [/] I don't want that on my ears .
  3. INV<don't you have> [<] to do it .
    INVin case I overdose .
    CHI*CHI: I have to do it .
    CHIhorrible .
    INVit's not horrible .
  4. MOTwww .
    MOTyou like horrible medicine , don't you , Becky ?
    CHI*CHI: I do .
    MOTyou like horrible medicine , don't you ?
    CHIno .
  5. MOTwe should write your name on that , shouldn't we ?
    MOTbecause it says this doctor's case belongs to doctor # Dodson .
    CHI*CHI: I can't do it .
    MOTshall I do it ?
    CHIyeah .
  6. INVyes .
    INVlet's .
    CHI*CHI: <did you do> [/] did you do this eyes ?
    MOTcome on then .
    MOTyou make a face for us .
  7. MOTcome on then .
    MOTyou make a face for us .
    CHI*CHI: um did you do eye ?
    CHIdid you do these eyes ?
    CHIon [/] on +...
  8. MOTyou make a face for us .
    CHIum did you do eye ?
    CHI*CHI: did you do these eyes ?
    CHIon [/] on +...
    CHIdoes Caroline need those eyes ?
  9. CHIxxx .
    CHIand a face .
    CHI*CHI: <do you> [/] do you have these ?
    MOTno .
    MOTshe doesn't have that .
  10. CHIwhy ?
    INVbecause my eyesight's okay .
    CHI*CHI: <do you need a> [/] do you need a nose ?
    INVI do need a nose .
    INVyes .
  11. CHIwhy's the hair brown ?
    INVis my hair brown .
    CHI*CHI: do you need some +//.
    MOTwhat [/] what did you say , Becky ?
    MOTis Caroline's hair brown ?
  12. MOTyes .
    MOTit is , isn't it ?
    CHI*CHI: and do you need some that .
    CHIdo you need some ears ?
    INVI do need some ears .
  13. MOTit is , isn't it ?
    CHIand do you need some that .
    CHI*CHI: do you need some ears ?
    INVI do need some ears .
    INVyes .
  14. INVyes .
    CHIand xxx .
    CHI*CHI: do you know where ?
    MOTthere , look .
    MOTxxx stuck to it .
  15. CHII got mine .
    CHIyes .
    CHI*CHI: I do .
    MOTor a nose .
    MOTput you a nose on .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Becky eng_british_Manchester_I17.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18a.chaBecky 2;6.051,007151817.87

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. do18 · 100.0%