PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,790 words searched).

  1. you think it should be blue? MOT · downs-flusberg/jerryt.cha, line 222
  2. should I do his other +/. MOT · downs-flusberg/jerryt.cha, line 327
  3. what should I +/. MOT · downs-flusberg/jerryt.cha, line 350
  4. what should I +/. MOT · downs-flusberg/jerryt.cha, line 354
  5. and what should I call this one? MOT · downs-flusberg/jerryt.cha, line 355
  6. do you think I should color him all one color? MOT · downs-flusberg/jerryt.cha, line 559
  7. what color should I color the bottom of him? MOT · downs-flusberg/jerryt.cha, line 561
  1. downs-flusberg/jerryt.cha, line 222
    CHII'm sorry.
    CHIblue.
    MOT*MOT: you think it should be blue?
    CHIyeah here.
    MOTalright.
  2. downs-flusberg/jerryt.cha, line 327
    CHIgreen.
    MOTalright.
    MOT*MOT: should I do his other +/.
    MOT<oh> [/?], you know what?
    MOTcould I have the yellow back again?
  3. downs-flusberg/jerryt.cha, line 350
    MOTthat's sam.
    MOTok.
    MOT*MOT: what should I +/.
    CHIsam dumpty.
    MOTsam dumpty, right.
  4. downs-flusberg/jerryt.cha, line 354
    MOTsam dumpty, right.
    CHIyes.
    MOT*MOT: what should I +/.
    MOTand what should I call this one?
    MOTit doesn't have a name.
  5. downs-flusberg/jerryt.cha, line 355
    CHIyes.
    MOTwhat should I +/.
    MOT*MOT: and what should I call this one?
    MOTit doesn't have a name.
    CHItigerho.
  6. downs-flusberg/jerryt.cha, line 559
    MOTthat's neat.
    MOTthat's really good.
    MOT*MOT: do you think I should color him all one color?
    MOTI think I'm going to color him just half.
    MOTwhat color should I color the bottom of him?
  7. downs-flusberg/jerryt.cha, line 561
    MOTdo you think I should color him all one color?
    MOTI think I'm going to color him just half.
    MOT*MOT: what color should I color the bottom of him?
    CHI<um> [/?].
    CHIhere.

Matches by child

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

  1. Jerryt downs-flusberg2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerryt.chaJerryt 2,790772.51

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. should7 · 100.0%