PHPCLANCHILDES with regular expressions

14 matches in 11 utterances

6.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (625 utterances, 2,154 words searched).

  1. we'll let Daddy fix it . MOT · eng_USA_Valian/03a.cha, line 128 · 03A 2;01
  2. we'll wait for Daddy to fix it . MOT · eng_USA_Valian/03a.cha, line 132 · 03A 2;01
  3. do you want to see some # things that we brought [% still banging] ? IN2 · eng_USA_Valian/03a.cha, line 174 · 03A 2;01
  4. we have some of these . MOT · eng_USA_Valian/03a.cha, line 532 · 03A 2;01
  5. we have to be very careful with knives, don't we ? INV · eng_USA_Valian/03a.cha, line 587 · 03A 2;01
  6. we have to be very careful with knives, don't we ? INV · eng_USA_Valian/03a.cha, line 587 · 03A 2;01
  7. how we gonna do this . INV · eng_USA_Valian/03a.cha, line 1090 · 03A 2;01
  8. there we go . INV · eng_USA_Valian/03a.cha, line 1136 · 03A 2;01
  9. we wanna hear the rest . INV · eng_USA_Valian/03a.cha, line 1802 · 03A 2;01
  10. we have to deal with the transcript later on, so it's easier if we're he… INV · eng_USA_Valian/03a.cha, line 1831 · 03A 2;01
  11. we have to deal with the transcript later on, so it's easier if we're here to, to watch so that we know what's going on . INV · eng_USA_Valian/03a.cha, line 1831 · 03A 2;01
  12. …ranscript later on, so it's easier if we're here to, to watch so that we know what's going on . INV · eng_USA_Valian/03a.cha, line 1831 · 03A 2;01
  13. you know, if we didn't have to that would be great . INV · eng_USA_Valian/03a.cha, line 1837 · 03A 2;01
  14. then we have to take that too . INV · eng_USA_Valian/03a.cha, line 2020 · 03A 2;01
  1. CHIcan you do that ?
    INVwhat are you doing ?
    MOT*MOT: we'll let Daddy fix it .
    CHIcan do that ? [+ V]
    MOTwe'll wait for Daddy to fix it .
  2. MOTwe'll let Daddy fix it .
    CHIcan do that ? [+ V]
    MOT*MOT: we'll wait for Daddy to fix it .
    MOTdaddy can fix it .
    CHIxxx .
  3. MOTdo you wanna read this book ?
    INVlook what Observer has .
    IN2*IN2: do you want to see some # things that we brought [% still banging] ?
    MOTyou should have gave me the recorder, I could have taped him this morning .
    INVI know .
  4. CHIno more front seat .
    MOTwhat are these things over here ?
    MOT*MOT: we have some of these .
    CHIducks !
    MOTducks .
  5. CHIknife .
    INVknife ?
    INV*INV: we have to be very careful with knives, don't we ?
    CHIyes .
    CHIxx .
  6. INVoh, yeah, the door always comes off .
    INVlet's see .
    INV*INV: how we gonna do this .
    INVI think it goes like that and then [/] then you wanna shut it .
    INVdo you need to blow your nose ?
  7. INVhard .
    INVhard again .
    INV*INV: there we go .
    IN2xxx .
    INVthat a boy .
  8. CHIorange .
    INVwhere you going ?
    INV*INV: we wanna hear the rest .
    MOTcome over here and finish your letters .
    MOTxxx [% not addressing CHI] .
  9. MOTdo you want me to record anything ?
    INVwell, it's easier .
    INV*INV: we have to deal with the transcript later on, so it's easier if we're here to, to watch so that we know what's going on .
    INVyou know, if we didn't have to that would be great .
    ADU+< careful, careful .
  10. INVwell, it's easier .
    INVwe have to deal with the transcript later on, so it's easier if we're here to, to watch so that we know what's going on .
    INV*INV: you know, if we didn't have to that would be great .
    ADU+< careful, careful .
    CHI[- is running around and yelling] xxx .
  11. INVyou wanna hold that ?
    INVfor a little while longer .
    INV*INV: then we have to take that too .
    CHIChild hold it .
    INVok .

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. 03A eng_USA_Valian6.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/03a.cha03A 2;1.232,15411146.50

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. we14 · 100.0%