PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. <wha(t)> [/] what is that ? MOT · eng_USA_Bates/zeke28.cha, line 32 · Zeke 2;04
  2. what is this ? MOT · eng_USA_Bates/zeke28.cha, line 44 · Zeke 2;04
  3. what is that cooking ? MOT · eng_USA_Bates/zeke28.cha, line 71 · Zeke 2;04
  4. what do we have in here ? MOT · eng_USA_Bates/zeke28.cha, line 223 · Zeke 2;04
  5. what kind of store ? MOT · eng_USA_Bates/zeke28.cha, line 253 · Zeke 2;04
  6. what door ? MOT · eng_USA_Bates/zeke28.cha, line 385 · Zeke 2;04
  7. close what door ? MOT · eng_USA_Bates/zeke28.cha, line 389 · Zeke 2;04
  1. eng_USA_Bates/zeke28.cha, line 32 · Zeke, 2;4.
    MOTwell # we have two # Zeke .
    MOTlook at that .
    MOT*MOT: <wha(t)> [/] what is that ?
    CHIyyy .
    CHIroll ?
  2. eng_USA_Bates/zeke28.cha, line 44 · Zeke, 2;4.
    CHIroll ?
    MOThmm ?
    MOT*MOT: what is this ?
    MOTis that a bed ?
    CHIsee !
  3. eng_USA_Bates/zeke28.cha, line 71 · Zeke, 2;4.
    MOTyou're cooking on a grill ?
    MOTright there ?
    MOT*MOT: what is that cooking ?
    MOThamburgers and hot+dogs ?
    MOTand a steak ?
  4. eng_USA_Bates/zeke28.cha, line 223 · Zeke, 2;4.
    CHIgo up ladder ?
    MOToh # I don't think she'll fit in there # honey .
    MOT*MOT: what do we have in here ?
    CHIthe lady bye+bye .
    CHIsee go store .
  5. eng_USA_Bates/zeke28.cha, line 253 · Zeke, 2;4.
    MOToh !
    MOTtaking all her friends to the store # huh ?
    MOT*MOT: what kind of store ?
    MOTgoing to the grocery store ?
    CHIsee (th)em get out .
  6. eng_USA_Bates/zeke28.cha, line 385 · Zeke, 2;4.
    CHIyyy to go store .
    MOTclose the door ?
    MOT*MOT: what door ?
    MOTwha(t) +...
    MOTclose what door ?
  7. eng_USA_Bates/zeke28.cha, line 389 · Zeke, 2;4.
    MOTwhat door ?
    MOTwha(t) +...
    MOT*MOT: close what door ?
    CHIsee go store .
    MOToh # they're going to de [//] the store again ?

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_Bates21.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/zeke28.chaZeke 2;4.3267721.47

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. what7 · 100.0%