PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

30.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (91 utterances, 326 words searched).

  1. is that a bed ? MOT · eng_USA_Bates/zeke28.cha, line 48 · Zeke 2;04
  2. a grill . MOT · eng_USA_Bates/zeke28.cha, line 54 · Zeke 2;04
  3. that's a grill . MOT · eng_USA_Bates/zeke28.cha, line 57 · Zeke 2;04
  4. you're cooking on a grill ? MOT · eng_USA_Bates/zeke28.cha, line 66 · Zeke 2;04
  5. and a steak ? MOT · eng_USA_Bates/zeke28.cha, line 76 · Zeke 2;04
  6. and make a tower ? MOT · eng_USA_Bates/zeke28.cha, line 90 · Zeke 2;04
  7. wan(t) (t)a make a tower ? MOT · eng_USA_Bates/zeke28.cha, line 92 · Zeke 2;04
  8. wan(t) (t)a make a tower ? MOT · eng_USA_Bates/zeke28.cha, line 92 · Zeke 2;04
  9. my little boy is going to take a nap . MOT · eng_USA_Bates/zeke28.cha, line 293 · Zeke 2;04
  10. so they have to take a nap now . MOT · eng_USA_Bates/zeke28.cha, line 358 · Zeke 2;04
  1. MOThmm ?
    MOTwhat is this ?
    MOT*MOT: is that a bed ?
    CHIsee !
    MOTa grill .
  2. MOTis that a bed ?
    CHIsee !
    MOT*MOT: a grill .
    MOTthat's a grill .
    MOTyou're cookin(g) .
  3. CHIsee !
    MOTa grill .
    MOT*MOT: that's a grill .
    MOTyou're cookin(g) .
    MOTok .
  4. MOTok .
    CHIcookin(g) on the xxx .
    MOT*MOT: you're cooking on a grill ?
    MOTright there ?
    MOTwhat is that cooking ?
  5. MOTwhat is that cooking ?
    MOThamburgers and hot+dogs ?
    MOT*MOT: and a steak ?
    MOTlike Daddy does ?
    MOThmm ?
  6. CHIlike Daddy .
    MOTcan we stack these ?
    MOT*MOT: and make a tower ?
    MOTwan(t) (t)a make a tower ?
    CHIuhhuh .
  7. MOTcan we stack these ?
    MOTand make a tower ?
    MOT*MOT: wan(t) (t)a make a tower ?
    CHIuhhuh .
    MOTlike this .
  8. CHIxxx .
    MOTmmhm .
    MOT*MOT: my little boy is going to take a nap .
    CHI0 .
    MOTwhy don't you bring [/] bring the people back home ?
  9. MOTyeah .
    MOTI think you're tired from that trip to the store .
    MOT*MOT: so they have to take a nap now .
    MOTuhhuh .
    CHIsee ?

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. Zeke eng_USA_Bates30.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/zeke28.chaZeke 2;4.32691030.67

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. a10 · 100.0%