PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (467 utterances, 2,310 words searched).

  1. she's taping us . MOT · eng_USA_Valian/13a.cha, line 60 · 13A 2;04
  2. and where did she buy it ? MOT · eng_USA_Valian/13a.cha, line 613 · 13A 2;04
  3. where did she buy the locomotive ? MOT · eng_USA_Valian/13a.cha, line 617 · 13A 2;04
  4. where did she buy the locomotive ? MOT · eng_USA_Valian/13a.cha, line 629 · 13A 2;04
  5. she bought it in # Germany . MOT · eng_USA_Valian/13a.cha, line 637 · 13A 2;04
  6. our dog, had an accident, and she was limping for a while, so now everyone who limps is a dog [% MOT an… MOT · eng_USA_Valian/13a.cha, line 937 · 13A 2;04
  7. and where is she now ? MOT · eng_USA_Valian/13a.cha, line 1337 · 13A 2;04
  8. and what does she do at Place ? MOT · eng_USA_Valian/13a.cha, line 1341 · 13A 2;04
  9. no, no, no, you know what she is . MOT · eng_USA_Valian/13a.cha, line 1346 · 13A 2;04
  10. she's a student . MOT · eng_USA_Valian/13a.cha, line 1350 · 13A 2;04
  1. eng_USA_Valian/13a.cha, line 60 · 13A, 2;4.02
    INVI'm +/.
    MOTyou know what, you know what Investigator's doing ?
    MOT*MOT: she's taping us .
    MOTdo you know what that means ?
    CHIyeah .
  2. eng_USA_Valian/13a.cha, line 613 · 13A, 2;4.02
    CHIOma mama .
    MOTOma mama .
    MOT*MOT: and where did she buy it ?
    CHIrmm@o beep@o beep@o beep@o beep@o .
    MOTwhere did she buy the locomotive ?
  3. eng_USA_Valian/13a.cha, line 617 · 13A, 2;4.02
    MOTand where did she buy it ?
    CHIrmm@o beep@o beep@o beep@o beep@o .
    MOT*MOT: where did she buy the locomotive ?
    MOTdid Oma buy it here ?
    CHIhmm ?
  4. eng_USA_Valian/13a.cha, line 629 · 13A, 2;4.02
    CHIwhere ?
    MOTno .
    MOT*MOT: where did she buy the locomotive ?
    CHIfor me ?
    MOTyes, for you .
  5. eng_USA_Valian/13a.cha, line 637 · 13A, 2;4.02
    MOTyes, for you .
    CHIwhere ?
    MOT*MOT: she bought it in # Germany .
    MOTthis is a German locomotive .
    CHI[- hums] are you a mountain, mamma ?
  6. eng_USA_Valian/13a.cha, line 937 · 13A, 2;4.02
    CHIlike a dog . [+ V]
    MOTlike a dog .
    MOT*MOT: our dog, had an accident, and she was limping for a while, so now everyone who limps is a dog [% MOT and inv laugh] .
    CHIwhat are, what are this ?
    MOToop .
  7. eng_USA_Valian/13a.cha, line 1337 · 13A, 2;4.02
    MOTwhat's her name ?
    CHIKarin .
    MOT*MOT: and where is she now ?
    CHIat Place .
    MOTand what does she do at Place ?
  8. eng_USA_Valian/13a.cha, line 1341 · 13A, 2;4.02
    MOTand where is she now ?
    CHIat Place .
    MOT*MOT: and what does she do at Place ?
    CHIsleep and xxx and +/.
    MOTno, no, no, you know what she is .
  9. eng_USA_Valian/13a.cha, line 1346 · 13A, 2;4.02
    MOTand what does she do at Place ?
    CHIsleep and xxx and +/.
    MOT*MOT: no, no, no, you know what she is .
    CHIshe's a xx .
    MOTshe's a student .
  10. eng_USA_Valian/13a.cha, line 1350 · 13A, 2;4.02
    MOTno, no, no, you know what she is .
    CHIshe's a xx .
    MOT*MOT: she's a student .
    CHIshe a student ?
    MOTstudent at Place .

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. 13A eng_USA_Valian4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/13a.cha13A 2;4.022,31010104.33

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. she10 · 100.0%