PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (965 utterances, 4,204 words searched).

  1. what is that tractor doing now ? MOT · eng_USA_Valian/18a.cha, line 252 · 18A 2;05
  2. what is that cow doing ? MOT · eng_USA_Valian/18a.cha, line 613 · 18A 2;05
  3. what do you think this little boy's doing ? MOT · eng_USA_Valian/18a.cha, line 1314 · 18A 2;05
  4. what's Investigator doing ? MOT · eng_USA_Valian/18a.cha, line 1721 · 18A 2;05
  5. what are you doing ? MOT · eng_USA_Valian/18a.cha, line 1840 · 18A 2;05
  6. what are you doing ? MOT · eng_USA_Valian/18a.cha, line 1934 · 18A 2;05
  7. # those are doing something, aren't they, Child ? MOT · eng_USA_Valian/18a.cha, line 2353 · 18A 2;05
  8. what am I doing ? MOT · eng_USA_Valian/18a.cha, line 2465 · 18A 2;05
  9. now what are you doing ? INV · eng_USA_Valian/18a.cha, line 2471 · 18A 2;05
  10. what are you doing, Child ? INV · eng_USA_Valian/18a.cha, line 2477 · 18A 2;05
  11. # Child, now what are you doing ? MOT · eng_USA_Valian/18a.cha, line 2592 · 18A 2;05
  12. now what are you doing ? MOT · eng_USA_Valian/18a.cha, line 2594 · 18A 2;05
  13. [- laughter] what were you doing when you did it ? MOT · eng_USA_Valian/18a.cha, line 2782 · 18A 2;05
  14. what are you doing, Child ? INV · eng_USA_Valian/18a.cha, line 2925 · 18A 2;05
  1. eng_USA_Valian/18a.cha, line 252 · 18A, 2;5.
    INVwatch .
    MOTlook !
    MOT*MOT: what is that tractor doing now ?
    CHIheh .
    CHInow he's he's &go [/] going to take his doggy for a ride [% she puts the dog on the trailer] .
  2. eng_USA_Valian/18a.cha, line 613 · 18A, 2;5.
    MOTit's a cow .
    CHIcow ?
    MOT*MOT: what is that cow doing ?
    CHII don't know .
    INVis it jumping up and down ?
  3. eng_USA_Valian/18a.cha, line 1314 · 18A, 2;5.
    INVis it a snowman ?
    MOToh, Child !
    MOT*MOT: what do you think this little boy's doing ?
    CHII don't know .
    MOTwhat's he got around his neck ?
  4. eng_USA_Valian/18a.cha, line 1721 · 18A, 2;5.
    CHIno !
    INVyes it is .
    MOT*MOT: what's Investigator doing ?
    CHIno .
    CHIhit .
  5. eng_USA_Valian/18a.cha, line 1840 · 18A, 2;5.
    INVit's got a happy mouth .
    MOTmhm .
    MOT*MOT: what are you doing ?
    MOT# hi !
    MOTwhere are you going ?
  6. eng_USA_Valian/18a.cha, line 1934 · 18A, 2;5.
    MOTare you goofing up ?
    CHI[- giggle] no .
    MOT*MOT: what are you doing ?
    INVare you singing ?
    CHIno .
  7. eng_USA_Valian/18a.cha, line 2353 · 18A, 2;5.
    INVhow many is there ?
    MOThow many ?
    MOT*MOT: # those are doing something, aren't they, Child ?
    MOTno, no, no .
    MOTbe careful (be)cause we don't want to lose them .
  8. eng_USA_Valian/18a.cha, line 2465 · 18A, 2;5.
    CHIhow many xx +/?
    MOTxx or we could do it this way .
    MOT*MOT: what am I doing ?
    INVdo you want to try that ?
    CHIyeah .
  9. eng_USA_Valian/18a.cha, line 2471 · 18A, 2;5.
    INVdo you want to try that ?
    CHIyeah .
    INV*INV: now what are you doing ?
    CHIha !
    MOToh .
  10. eng_USA_Valian/18a.cha, line 2477 · 18A, 2;5.
    CHIha !
    MOToh .
    INV*INV: what are you doing, Child ?
    CHIam I, I'm building a tower .
    CHIand I'm xxx for, for, for make it there xxx here .
  11. eng_USA_Valian/18a.cha, line 2592 · 18A, 2;5.
    INVlooks like paste .
    MOTthere .
    MOT*MOT: # Child, now what are you doing ?
    MOTnow what are you doing ?
    CHIxxx .
  12. eng_USA_Valian/18a.cha, line 2594 · 18A, 2;5.
    MOTthere .
    MOT# Child, now what are you doing ?
    MOT*MOT: now what are you doing ?
    CHIxxx .
    INVis that silly talk ?
  13. eng_USA_Valian/18a.cha, line 2782 · 18A, 2;5.
    MOTshall we +...
    CHII want you to read it again .
    MOT*MOT: [- laughter] what were you doing when you did it ?
    CHIuh, I was drawing .
    MOTChild, tell Investigator, did we go to the museum today ?
  14. eng_USA_Valian/18a.cha, line 2925 · 18A, 2;5.
    MOTare you counting them ?
    MOT# how many are there ?
    INV*INV: what are you doing, Child ?
    CHIjust how many ?
    MOTwhere are you finding 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. 18A eng_USA_Valian3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/18a.cha18A 2;5.4,20414143.33

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. doing14 · 100.0%