PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (648 utterances, 3,356 words searched).

  1. ok, now we are going to pick a pumpkin. MOT · downs-flusberg/penny04.cha, line 87
  2. you'll pick that one? MOT · downs-flusberg/penny04.cha, line 90
  3. and what color are you gonna pick to do his eyes? MOT · downs-flusberg/penny04.cha, line 104
  4. now what color are we gonna pick? MOT · downs-flusberg/penny04.cha, line 486
  5. we'll pick some colors. MOT · downs-flusberg/penny04.cha, line 489
  6. now let's pick a different color for his shirt. MOT · downs-flusberg/penny04.cha, line 516
  7. <oh> [/?] let's pick a different color. MOT · downs-flusberg/penny04.cha, line 628
  8. we can pick work books. MOT · downs-flusberg/penny04.cha, line 1033
  1. MOTthe teeth.
    MOTright?
    MOT*MOT: ok, now we are going to pick a pumpkin.
    CHIyeah.
    CHII'll pick this one.
  2. CHIyeah.
    CHII'll pick this one.
    MOT*MOT: you'll pick that one?
    CHIyup.
    MOT<and let's find a> [/?] let's find a smooth place and we're gonna draw our face.
  3. CHIorange.
    MOTorange.
    MOT*MOT: and what color are you gonna pick to do his eyes?
    MOTwe have a black one.
    MOTa red one.
  4. CHIyeah.
    MOTok, now lookit.
    MOT*MOT: now what color are we gonna pick?
    CHII pick +/.
    MOTwe'll pick some colors.
  5. MOTnow what color are we gonna pick?
    CHII pick +/.
    MOT*MOT: we'll pick some colors.
    MOTwhat color hair will he have?
    MOTwe have to think about this.
  6. MOTdudley has red eyes?
    CHIyeah.
    MOT*MOT: now let's pick a different color for his shirt.
    MOTwhat do you say?
    CHII say it's blue.
  7. MOTI know, I'm silly.
    MOTall my teenagers think I'm silly too.
    MOT*MOT: <oh> [/?] let's pick a different color.
    CHII'm all finished.
    MOTyou did a great job.
  8. MOTwhat else are we going to do?
    CHIyeah.
    MOT*MOT: we can pick work books.
    MOTyou wanna try that brand new one?
    CHIyeah.

Matches by child

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

  1. Penny downs-flusberg2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/penny04.chaPenny 3,356882.38

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. pick8 · 100.0%